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Lec 27 | MIT 18.03 Differential Equations, Spring 2006
Lec 27 | MIT 18.03 Differential Equations, Spring 2006 -
Lec 31 | MIT 18.03 Differential Equations, Spring 2006
Lec 31 | MIT 18.03 Differential Equations, Spring 2006Lec 31 | MIT 18.03 Differential Equations, Spring 2006
Non-linear Autonomous Systems: Finding the Critical Points and Sketching Trajectories; the Non-linear Pendulum. View the complete course: http://ocw.mit.edu/... -
System Dynamics and Control: Module 3 - Mathematical Modeling Part I
System Dynamics and Control: Module 3 - Mathematical Modeling Part ISystem Dynamics and Control: Module 3 - Mathematical Modeling Part I
Discussion of differential equations as a representation of dynamic systems. Introduction to the Laplace Transform as a tool for solving differential equations. -
Dynamical Systems
Dynamical SystemsDynamical Systems
Mathematics of Complexity lecture 3 Class description: We've all heard the buzzwords - chaos, fractals, networks, power laws. What do these terms mean in a r... -
Multiagent Dynamical Systems
Multiagent Dynamical SystemsMultiagent Dynamical Systems
I will show how to model multiagent systems using dynamical systems theory by deriving a class of macroscopic differential equations that describe mutual ada... -
Fixed points and stability of a nonlinear system
Fixed points and stability of a nonlinear systemFixed points and stability of a nonlinear system
Find the fixed points and determines the linear stability of a system of two first-order nonlinear differential equations. Lecture notes at http://www.math.u... -
Logical Analysis of Hybrid Systems
Logical Analysis of Hybrid SystemsLogical Analysis of Hybrid Systems
RI Seminar, February 18, 2011 Andre Platzer Assistant Professor, Computer Science Department, Carnegie Mellon University Hybrid systems model cyber-physical ... -
Lecture 1 | Introduction to Linear Dynamical Systems
Lecture 1 | Introduction to Linear Dynamical SystemsLecture 1 | Introduction to Linear Dynamical Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, gives an overview of the course, Introduction to Linear Dynamical Sy... -
Lecture 2 | Introduction to Linear Dynamical Systems
Lecture 2 | Introduction to Linear Dynamical SystemsLecture 2 | Introduction to Linear Dynamical Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on linear functions for the course, Introduction to Linear ... -
Lecture 3 | Introduction to Linear Dynamical Systems
Lecture 3 | Introduction to Linear Dynamical SystemsLecture 3 | Introduction to Linear Dynamical Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, gives a review of linear algebra for the course, Introduction to Lin... -
Lecture 8 | Introduction to Linear Dynamical Systems
Lecture 8 | Introduction to Linear Dynamical SystemsLecture 8 | Introduction to Linear Dynamical Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on the least norm solutions of undetermined equations for t... -
Lecture 10 | Introduction to Linear Dynamical Systems
Lecture 10 | Introduction to Linear Dynamical SystemsLecture 10 | Introduction to Linear Dynamical Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on autonomous linear dynamical systems and how they relate ... -
Lecture 11 | Introduction to Linear Dynamical Systems
Lecture 11 | Introduction to Linear Dynamical SystemsLecture 11 | Introduction to Linear Dynamical Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on how to find solutions via LaPlace transform and the use ... -
Lecture 12 | Introduction to Linear Dynamical Systems
Lecture 12 | Introduction to Linear Dynamical SystemsLecture 12 | Introduction to Linear Dynamical Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on matrix exponentials, eigenvectors, and diagonalization a...
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Lec 27 | MIT 18.03 Differential Equations, Spring 2006
Lec 27 | MIT 18.03 Differential Equations, Spring 2006Lec 27 | MIT 18.03 Differential Equations, Spring 2006
Sketching Solutions of 2x2 Homogeneous Linear System with Constant Coefficients View the complete course: http://ocw.mit.edu/18-03S06 License: Creative Commo... -
Lec 31 | MIT 18.03 Differential Equations, Spring 2006
Lec 31 | MIT 18.03 Differential Equations, Spring 2006Lec 31 | MIT 18.03 Differential Equations, Spring 2006
Non-linear Autonomous Systems: Finding the Critical Points and Sketching Trajectories; the Non-linear Pendulum. View the complete course: http://ocw.mit.edu/... -
System Dynamics and Control: Module 3 - Mathematical Modeling Part I
System Dynamics and Control: Module 3 - Mathematical Modeling Part ISystem Dynamics and Control: Module 3 - Mathematical Modeling Part I
Discussion of differential equations as a representation of dynamic systems. Introduction to the Laplace Transform as a tool for solving differential equations. -
Dynamical Systems
Dynamical SystemsDynamical Systems
Mathematics of Complexity lecture 3 Class description: We've all heard the buzzwords - chaos, fractals, networks, power laws. What do these terms mean in a r... -
Multiagent Dynamical Systems
Multiagent Dynamical SystemsMultiagent Dynamical Systems
I will show how to model multiagent systems using dynamical systems theory by deriving a class of macroscopic differential equations that describe mutual ada... -
Fixed points and stability of a nonlinear system
Fixed points and stability of a nonlinear systemFixed points and stability of a nonlinear system
Find the fixed points and determines the linear stability of a system of two first-order nonlinear differential equations. Lecture notes at http://www.math.u... -
Logical Analysis of Hybrid Systems
Logical Analysis of Hybrid SystemsLogical Analysis of Hybrid Systems
RI Seminar, February 18, 2011 Andre Platzer Assistant Professor, Computer Science Department, Carnegie Mellon University Hybrid systems model cyber-physical ... -
Lecture 1 | Introduction to Linear Dynamical Systems
Lecture 1 | Introduction to Linear Dynamical SystemsLecture 1 | Introduction to Linear Dynamical Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, gives an overview of the course, Introduction to Linear Dynamical Sy... -
Lecture 2 | Introduction to Linear Dynamical Systems
Lecture 2 | Introduction to Linear Dynamical SystemsLecture 2 | Introduction to Linear Dynamical Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on linear functions for the course, Introduction to Linear ... -
Lecture 3 | Introduction to Linear Dynamical Systems
Lecture 3 | Introduction to Linear Dynamical SystemsLecture 3 | Introduction to Linear Dynamical Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, gives a review of linear algebra for the course, Introduction to Lin... -
Lecture 8 | Introduction to Linear Dynamical Systems
Lecture 8 | Introduction to Linear Dynamical SystemsLecture 8 | Introduction to Linear Dynamical Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on the least norm solutions of undetermined equations for t... -
Lecture 10 | Introduction to Linear Dynamical Systems
Lecture 10 | Introduction to Linear Dynamical SystemsLecture 10 | Introduction to Linear Dynamical Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on autonomous linear dynamical systems and how they relate ... -
Lecture 11 | Introduction to Linear Dynamical Systems
Lecture 11 | Introduction to Linear Dynamical SystemsLecture 11 | Introduction to Linear Dynamical Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on how to find solutions via LaPlace transform and the use ... -
Lecture 12 | Introduction to Linear Dynamical Systems
Lecture 12 | Introduction to Linear Dynamical SystemsLecture 12 | Introduction to Linear Dynamical Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on matrix exponentials, eigenvectors, and diagonalization a... -
Lecture 13 | Introduction to Linear Dynamical Systems
Lecture 13 | Introduction to Linear Dynamical SystemsLecture 13 | Introduction to Linear Dynamical Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on generalized eigenvectors, diagonalization, and Jordan ca... -
State Space Representation ( Dynamic Systems ) | Mechanical Engineering
State Space Representation ( Dynamic Systems ) | Mechanical EngineeringState Space Representation ( Dynamic Systems ) | Mechanical Engineering
State Space Representation Dynamic Systems. -
Linear Systems: Matrix Methods | MIT 18.03SC Differential Equations, Fall 2011
Linear Systems: Matrix Methods | MIT 18.03SC Differential Equations, Fall 2011Linear Systems: Matrix Methods | MIT 18.03SC Differential Equations, Fall 2011
Linear Systems: Matrix Methods Instructor: Lydia Bourouiba View the complete course: http://ocw.mit.edu/18-03SCF11 License: Creative Commons BY-NC-SA More in... -
Homogeneous Systems of Linear Equations - Intro to Eigenvalue/Eigenvector Method
Homogeneous Systems of Linear Equations - Intro to Eigenvalue/Eigenvector MethodHomogeneous Systems of Linear Equations - Intro to Eigenvalue/Eigenvector Method
Gives an overview of the notation and terminology used when working with linear systems of differential equations. Outlines the method to be used for finding eigenvalues and eigenvectors, which provide solutions for a system of equations. -
Differential Equations - Solve Linear System using Laplace transforms
Differential Equations - Solve Linear System using Laplace transformsDifferential Equations - Solve Linear System using Laplace transforms
Solve the system: dx/dt + 3x + dy/dt = 1, dx/dt - x + dy/dt - y = e^t, x(0)=0, y(0)=0. -
Partial differential equation
Partial differential equationPartial differential equation
In mathematics, a partial differential equation (PDE) is a differential equation that contains unknown multivariable functions and their partial derivatives.... -
Game Theory #3 - (Pure) Nash Equilibrium and Best Response Strategies
Game Theory #3 - (Pure) Nash Equilibrium and Best Response StrategiesGame Theory #3 - (Pure) Nash Equilibrium and Best Response Strategies
I hope you found this video useful, please subscribe for daily videos! WBM Foundations: Mathematical logic Set theory Algebra: Number theory Group theory Lie groups Commutative rings Associative ring theory Nonassociative ring theory Field theory General algebraic systems Algebraic geometry Linear algebra Category theory K-theory Combinatorics and Discrete Mathematics Ordered sets Geometry Geometry Convex and discrete geometry Differential geometry General topology Algebraic topology Manifolds Analysis Calculus and Real Analysis: Real functions Measure theory and integration Special functions Finite differences and functional equati -
Differential Equations, The Exponential Map Perspective - Lecture 7
Differential Equations, The Exponential Map Perspective - Lecture 7Differential Equations, The Exponential Map Perspective - Lecture 7
The seventh in a series of lectures which will examine differential equations from the perspective of the exponential map. The seventh lecture continues with... -
Linearizing non-linear dynamic equations
Linearizing non-linear dynamic equationsLinearizing non-linear dynamic equations
In this lecture, we go through the steps of linearizing non-linear differential equations about a given operating/equilibrium point. We will use the multi-va...
Lec 27 | MIT 18.03 Differential Equations, Spring 2006
- Duration: 50:27
- Updated: 03 Sep 2014
Sketching Solutions of 2x2 Homogeneous Linear System with Constant Coefficients View the complete course: http://ocw.mit.edu/18-03S06 License: Creative Commo...
http://wn.com/Lec_27_|_MIT_18.03_Differential_Equations,_Spring_2006
Sketching Solutions of 2x2 Homogeneous Linear System with Constant Coefficients View the complete course: http://ocw.mit.edu/18-03S06 License: Creative Commo...
- published: 17 Jan 2008
- views: 52637
- author: MIT OpenCourseWare
Lec 31 | MIT 18.03 Differential Equations, Spring 2006
- Duration: 47:11
- Updated: 26 Jul 2014
Non-linear Autonomous Systems: Finding the Critical Points and Sketching Trajectories; the Non-linear Pendulum. View the complete course: http://ocw.mit.edu/...
http://wn.com/Lec_31_|_MIT_18.03_Differential_Equations,_Spring_2006
Non-linear Autonomous Systems: Finding the Critical Points and Sketching Trajectories; the Non-linear Pendulum. View the complete course: http://ocw.mit.edu/...
- published: 17 Jan 2008
- views: 33293
- author: MIT OpenCourseWare
System Dynamics and Control: Module 3 - Mathematical Modeling Part I
- Duration: 65:34
- Updated: 25 Aug 2014
Discussion of differential equations as a representation of dynamic systems. Introduction to the Laplace Transform as a tool for solving differential equations.
http://wn.com/System_Dynamics_and_Control_Module_3_-_Mathematical_Modeling_Part_I
Discussion of differential equations as a representation of dynamic systems. Introduction to the Laplace Transform as a tool for solving differential equations.
- published: 18 Aug 2013
- views: 4699
- author: Rick Hill
Dynamical Systems
- Duration: 101:13
- Updated: 26 Feb 2014
Mathematics of Complexity lecture 3 Class description: We've all heard the buzzwords - chaos, fractals, networks, power laws. What do these terms mean in a r...
http://wn.com/Dynamical_Systems
Mathematics of Complexity lecture 3 Class description: We've all heard the buzzwords - chaos, fractals, networks, power laws. What do these terms mean in a r...
- published: 27 Oct 2012
- views: 3436
- author: Stanford Complexity Group
Multiagent Dynamical Systems
- Duration: 56:46
- Updated: 27 Aug 2014
I will show how to model multiagent systems using dynamical systems theory by deriving a class of macroscopic differential equations that describe mutual ada...
http://wn.com/Multiagent_Dynamical_Systems
I will show how to model multiagent systems using dynamical systems theory by deriving a class of macroscopic differential equations that describe mutual ada...
- published: 04 May 2012
- views: 1356
- author: Bill Broadley
Fixed points and stability of a nonlinear system
- Duration: 18:01
- Updated: 21 Jun 2014
Find the fixed points and determines the linear stability of a system of two first-order nonlinear differential equations. Lecture notes at http://www.math.u...
http://wn.com/Fixed_points_and_stability_of_a_nonlinear_system
Find the fixed points and determines the linear stability of a system of two first-order nonlinear differential equations. Lecture notes at http://www.math.u...
- published: 11 Nov 2013
- views: 2789
- author: Prof. Jeffrey Chasnov
Logical Analysis of Hybrid Systems
- Duration: 53:31
- Updated: 01 Apr 2014
RI Seminar, February 18, 2011 Andre Platzer Assistant Professor, Computer Science Department, Carnegie Mellon University Hybrid systems model cyber-physical ...
http://wn.com/Logical_Analysis_of_Hybrid_Systems
RI Seminar, February 18, 2011 Andre Platzer Assistant Professor, Computer Science Department, Carnegie Mellon University Hybrid systems model cyber-physical ...
- published: 17 Mar 2011
- views: 972
- author: cmurobotics
Lecture 1 | Introduction to Linear Dynamical Systems
- Duration: 76:46
- Updated: 29 Aug 2014
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, gives an overview of the course, Introduction to Linear Dynamical Sy...
http://wn.com/Lecture_1_|_Introduction_to_Linear_Dynamical_Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, gives an overview of the course, Introduction to Linear Dynamical Sy...
- published: 09 Jul 2008
- views: 94697
- author: Stanford
Lecture 2 | Introduction to Linear Dynamical Systems
- Duration: 65:52
- Updated: 04 Sep 2014
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on linear functions for the course, Introduction to Linear ...
http://wn.com/Lecture_2_|_Introduction_to_Linear_Dynamical_Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on linear functions for the course, Introduction to Linear ...
- published: 09 Jul 2008
- views: 45047
- author: Stanford
Lecture 3 | Introduction to Linear Dynamical Systems
- Duration: 79:11
- Updated: 18 Aug 2014
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, gives a review of linear algebra for the course, Introduction to Lin...
http://wn.com/Lecture_3_|_Introduction_to_Linear_Dynamical_Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, gives a review of linear algebra for the course, Introduction to Lin...
- published: 09 Jul 2008
- views: 28340
- author: Stanford
Lecture 8 | Introduction to Linear Dynamical Systems
- Duration: 75:58
- Updated: 02 Jul 2014
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on the least norm solutions of undetermined equations for t...
http://wn.com/Lecture_8_|_Introduction_to_Linear_Dynamical_Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on the least norm solutions of undetermined equations for t...
- published: 09 Jul 2008
- views: 12521
- author: Stanford
Lecture 10 | Introduction to Linear Dynamical Systems
- Duration: 71:42
- Updated: 16 Jul 2014
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on autonomous linear dynamical systems and how they relate ...
http://wn.com/Lecture_10_|_Introduction_to_Linear_Dynamical_Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on autonomous linear dynamical systems and how they relate ...
- published: 09 Jul 2008
- views: 12782
- author: Stanford
Lecture 11 | Introduction to Linear Dynamical Systems
- Duration: 68:55
- Updated: 02 Jul 2013
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on how to find solutions via LaPlace transform and the use ...
http://wn.com/Lecture_11_|_Introduction_to_Linear_Dynamical_Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on how to find solutions via LaPlace transform and the use ...
- published: 09 Jul 2008
- views: 10336
- author: StanfordUniversity
Lecture 12 | Introduction to Linear Dynamical Systems
- Duration: 73:37
- Updated: 02 Jul 2014
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on matrix exponentials, eigenvectors, and diagonalization a...
http://wn.com/Lecture_12_|_Introduction_to_Linear_Dynamical_Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on matrix exponentials, eigenvectors, and diagonalization a...
- published: 09 Jul 2008
- views: 12212
- author: Stanford
Lecture 13 | Introduction to Linear Dynamical Systems
- Duration: 73:01
- Updated: 24 Feb 2013
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on generalized eigenvectors, diagonalization, and Jordan ca...
http://wn.com/Lecture_13_|_Introduction_to_Linear_Dynamical_Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on generalized eigenvectors, diagonalization, and Jordan ca...
- published: 09 Jul 2008
- views: 11103
- author: StanfordUniversity
State Space Representation ( Dynamic Systems ) | Mechanical Engineering
- Duration: 9:01
- Updated: 04 Sep 2014
State Space Representation Dynamic Systems.
http://wn.com/State_Space_Representation_(_Dynamic_Systems_)_|_Mechanical_Engineering
Linear Systems: Matrix Methods | MIT 18.03SC Differential Equations, Fall 2011
- Duration: 8:01
- Updated: 08 Jun 2013
Linear Systems: Matrix Methods Instructor: Lydia Bourouiba View the complete course: http://ocw.mit.edu/18-03SCF11 License: Creative Commons BY-NC-SA More in...
http://wn.com/Linear_Systems_Matrix_Methods_|_MIT_18.03SC_Differential_Equations,_Fall_2011
Linear Systems: Matrix Methods Instructor: Lydia Bourouiba View the complete course: http://ocw.mit.edu/18-03SCF11 License: Creative Commons BY-NC-SA More in...
- published: 04 Jan 2012
- views: 6281
- author: MIT
Homogeneous Systems of Linear Equations - Intro to Eigenvalue/Eigenvector Method
- Duration: 18:44
- Updated: 06 Nov 2013
Gives an overview of the notation and terminology used when working with linear systems of differential equations. Outlines the method to be used for finding eigenvalues and eigenvectors, which provide solutions for a system of equations.
http://wn.com/Homogeneous_Systems_of_Linear_Equations_-_Intro_to_Eigenvalue_Eigenvector_Method
Gives an overview of the notation and terminology used when working with linear systems of differential equations. Outlines the method to be used for finding eigenvalues and eigenvectors, which provide solutions for a system of equations.
- published: 06 Nov 2013
- views: 21
Differential Equations - Solve Linear System using Laplace transforms
- Duration: 14:48
- Updated: 23 Jul 2014
Solve the system: dx/dt + 3x + dy/dt = 1, dx/dt - x + dy/dt - y = e^t, x(0)=0, y(0)=0.
http://wn.com/Differential_Equations_-_Solve_Linear_System_using_Laplace_transforms
Solve the system: dx/dt + 3x + dy/dt = 1, dx/dt - x + dy/dt - y = e^t, x(0)=0, y(0)=0.
- published: 22 Jul 2013
- views: 1915
- author: ProfessorFife
Partial differential equation
- Duration: 37:52
- Updated: 29 Aug 2014
In mathematics, a partial differential equation (PDE) is a differential equation that contains unknown multivariable functions and their partial derivatives....
http://wn.com/Partial_differential_equation
In mathematics, a partial differential equation (PDE) is a differential equation that contains unknown multivariable functions and their partial derivatives....
- published: 29 Aug 2014
- views: 2
- author: Audiopedia
Game Theory #3 - (Pure) Nash Equilibrium and Best Response Strategies
- Duration: 10:11
- Updated: 29 Oct 2014
I hope you found this video useful, please subscribe for daily videos!
WBM
Foundations: Mathematical logic Set theory
Algebra: Number theory Group theory Lie groups Commutative rings Associative ring theory Nonassociative ring theory Field theory General algebraic systems Algebraic geometry Linear algebra Category theory K-theory Combinatorics and Discrete Mathematics Ordered sets
Geometry Geometry Convex and discrete geometry Differential geometry General topology Algebraic topology Manifolds
Analysis Calculus and Real Analysis: Real functions Measure theory and integration Special functions Finite differences and functional equations Sequences and series Complex analysis Complex variables Potential theory Multiple complex variables Differential and integral equations Ordinary differential equations Partial differential equations Dynamical systems Integral equations Calculus of variations and optimization Global analysis, analysis on manifolds Functional analysis Functional analysis Fourier analysis Abstract harmonic analysis Integral transforms Operator theory Numerical analysis and optimization Numerical analysis Approximations and expansions Operations research
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Computer Science Computer science Information and communication
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Category
http://wn.com/Game_Theory_3_-_(Pure)_Nash_Equilibrium_and_Best_Response_Strategies
I hope you found this video useful, please subscribe for daily videos!
WBM
Foundations: Mathematical logic Set theory
Algebra: Number theory Group theory Lie groups Commutative rings Associative ring theory Nonassociative ring theory Field theory General algebraic systems Algebraic geometry Linear algebra Category theory K-theory Combinatorics and Discrete Mathematics Ordered sets
Geometry Geometry Convex and discrete geometry Differential geometry General topology Algebraic topology Manifolds
Analysis Calculus and Real Analysis: Real functions Measure theory and integration Special functions Finite differences and functional equations Sequences and series Complex analysis Complex variables Potential theory Multiple complex variables Differential and integral equations Ordinary differential equations Partial differential equations Dynamical systems Integral equations Calculus of variations and optimization Global analysis, analysis on manifolds Functional analysis Functional analysis Fourier analysis Abstract harmonic analysis Integral transforms Operator theory Numerical analysis and optimization Numerical analysis Approximations and expansions Operations research
Probability and statistics Probability theory Statistics
Computer Science Computer science Information and communication
Applied mathematics Mechanics of particles and systems Mechanics of solids Fluid mechanics Optics, electromagnetic theory Classical thermodynamics, heat transfer Quantum Theory Statistical mechanics, structure of matter Relativity and gravitational theory Astronomy and astrophysics Geophysics applications Systems theory Other sciences
Category
- published: 29 Oct 2014
- views: 1
Differential Equations, The Exponential Map Perspective - Lecture 7
- Duration: 40:08
- Updated: 11 Dec 2013
The seventh in a series of lectures which will examine differential equations from the perspective of the exponential map. The seventh lecture continues with...
http://wn.com/Differential_Equations,_The_Exponential_Map_Perspective_-_Lecture_7
The seventh in a series of lectures which will examine differential equations from the perspective of the exponential map. The seventh lecture continues with...
- published: 25 Oct 2013
- views: 40
- author: Brian Palmer
Linearizing non-linear dynamic equations
- Duration: 7:27
- Updated: 23 Aug 2014
In this lecture, we go through the steps of linearizing non-linear differential equations about a given operating/equilibrium point. We will use the multi-va...
http://wn.com/Linearizing_non-linear_dynamic_equations
In this lecture, we go through the steps of linearizing non-linear differential equations about a given operating/equilibrium point. We will use the multi-va...
- published: 25 Sep 2012
- views: 8537
- author: rmjds
-
Lecture 6, Systems Represented by Differential Equations | MIT RES.6.007 Signals and Systems
Lecture 6, Systems Represented by Differential Equations | MIT RES.6.007 Signals and SystemsLecture 6, Systems Represented by Differential Equations | MIT RES.6.007 Signals and Systems
Lecture 6, Systems Represented by Differential Equations Instructor: Alan V. Oppenheim View the complete course: http://ocw.mit.edu/RES-6.007S11 License: Cre... -
Dynamic Behaviour of Engineering Systems 2: The differential equations
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This mini lecture examines the mathematical commonality between different types of systems - mechanical, electrical and thermal. -
Lecture 6 | Introduction to Linear Dynamical Systems
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Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on the applications of least squares for the course, Introd... -
Lecture 9 | Introduction to Linear Dynamical Systems
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Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on autonomous linear dynamical systems for the course, Intr... -
Lecture 15 | Introduction to Linear Dynamical Systems
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Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on inputs and outputs of linear dynamical systems, as well ... -
Lecture 16 | Introduction to Linear Dynamical Systems
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Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on the use of symmetric matrices, quadratic forms, matrix n... -
Differential Equations: The Exponential Map Perspective - Lecture 1
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The first in a series of lectures which will examine differential equations from the perspective of the exponential map. The first lecture starts by consider... -
Differential Equations: The Exponential Map Perspective - Lecture 6
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The sixth in a series of lectures which will examine differential equations from the perspective of the exponential map. The sixth lecture introduces very ba... -
Boris Hasselblatt - Jean Morlet Chair Nov. 2013 to April 2014
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INTERVIEW The Jean-Morlet Chair is a scientific collaboration between CIRM -CNRS-SMF-, Aix-Marseille Université and the City of Marseille. Two international ...
Lecture 6, Systems Represented by Differential Equations | MIT RES.6.007 Signals and Systems
- Duration: 47:15
- Updated: 04 Sep 2014
Lecture 6, Systems Represented by Differential Equations Instructor: Alan V. Oppenheim View the complete course: http://ocw.mit.edu/RES-6.007S11 License: Cre...
http://wn.com/Lecture_6,_Systems_Represented_by_Differential_Equations_|_MIT_RES.6.007_Signals_and_Systems
Lecture 6, Systems Represented by Differential Equations Instructor: Alan V. Oppenheim View the complete course: http://ocw.mit.edu/RES-6.007S11 License: Cre...
- published: 02 Sep 2011
- views: 16138
- author: MIT OpenCourseWare
Dynamic Behaviour of Engineering Systems 2: The differential equations
- Duration: 21:52
- Updated: 05 Jul 2014
This mini lecture examines the mathematical commonality between different types of systems - mechanical, electrical and thermal.
http://wn.com/Dynamic_Behaviour_of_Engineering_Systems_2_The_differential_equations
This mini lecture examines the mathematical commonality between different types of systems - mechanical, electrical and thermal.
- published: 03 Jul 2014
- views: 46
- author: epselearning
Lecture 6 | Introduction to Linear Dynamical Systems
- Duration: 76:19
- Updated: 02 Jul 2014
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on the applications of least squares for the course, Introd...
http://wn.com/Lecture_6_|_Introduction_to_Linear_Dynamical_Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on the applications of least squares for the course, Introd...
- published: 09 Jul 2008
- views: 15999
- author: Stanford
Lecture 9 | Introduction to Linear Dynamical Systems
- Duration: 69:02
- Updated: 22 Jul 2014
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on autonomous linear dynamical systems for the course, Intr...
http://wn.com/Lecture_9_|_Introduction_to_Linear_Dynamical_Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on autonomous linear dynamical systems for the course, Intr...
- published: 09 Jul 2008
- views: 14141
- author: Stanford
Lecture 15 | Introduction to Linear Dynamical Systems
- Duration: 69:01
- Updated: 04 Jul 2013
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on inputs and outputs of linear dynamical systems, as well ...
http://wn.com/Lecture_15_|_Introduction_to_Linear_Dynamical_Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on inputs and outputs of linear dynamical systems, as well ...
- published: 09 Jul 2008
- views: 7797
- author: StanfordUniversity
Lecture 16 | Introduction to Linear Dynamical Systems
- Duration: 72:35
- Updated: 15 Jun 2013
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on the use of symmetric matrices, quadratic forms, matrix n...
http://wn.com/Lecture_16_|_Introduction_to_Linear_Dynamical_Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on the use of symmetric matrices, quadratic forms, matrix n...
- published: 09 Jul 2008
- views: 7035
- author: StanfordUniversity
Differential Equations: The Exponential Map Perspective - Lecture 1
- Duration: 48:25
- Updated: 18 Mar 2014
The first in a series of lectures which will examine differential equations from the perspective of the exponential map. The first lecture starts by consider...
http://wn.com/Differential_Equations_The_Exponential_Map_Perspective_-_Lecture_1
The first in a series of lectures which will examine differential equations from the perspective of the exponential map. The first lecture starts by consider...
- published: 06 Sep 2013
- views: 210
- author: Brian Palmer
Differential Equations: The Exponential Map Perspective - Lecture 6
- Duration: 38:20
- Updated: 29 Apr 2014
The sixth in a series of lectures which will examine differential equations from the perspective of the exponential map. The sixth lecture introduces very ba...
http://wn.com/Differential_Equations_The_Exponential_Map_Perspective_-_Lecture_6
The sixth in a series of lectures which will examine differential equations from the perspective of the exponential map. The sixth lecture introduces very ba...
- published: 18 Oct 2013
- views: 64
- author: Brian Palmer
Boris Hasselblatt - Jean Morlet Chair Nov. 2013 to April 2014
- Duration: 20:21
- Updated: 28 Aug 2014
INTERVIEW The Jean-Morlet Chair is a scientific collaboration between CIRM -CNRS-SMF-, Aix-Marseille Université and the City of Marseille. Two international ...
http://wn.com/Boris_Hasselblatt_-_Jean_Morlet_Chair_Nov._2013_to_April_2014
INTERVIEW The Jean-Morlet Chair is a scientific collaboration between CIRM -CNRS-SMF-, Aix-Marseille Université and the City of Marseille. Two international ...
- published: 24 Jun 2014
- views: 58
- author: CIRM Centre International de Rencontres Mathématiques
-
Interactive Exploration of a Dynamical System
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Dynamical Modeling with PottersWheel
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PottersWheel is a program to create differential equation based models of dynamical systems like biochemical reaction networks. It can fit a model to experim... -
Linear Applications 1
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This is the first video for Linear Applications on http://www.ulearniversity.com. -
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Non Linear Eiffel Tower Warp
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Algebra 1: Fitting Equations to Data
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Rim of the World Unified School District Math Teacher Mr. Dave Esquer Teaches Algebra 1 Math Studies! We hope these math videos help you out in your educational path, and can help you pass your tests! Comment below and help others with questions, as we may not see the comments in time. Enjoy! Rim High School Social Media If you want a copy of these videos, please contact us for permission to download, as these videos are under the sole possession of Rim of the World Unified School District, and permission given to Rim of the World High School for Hosting on YouTube. rhssocial@rimsd.k12.ca.us -
Video 1 Introduction to Linear Equations
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Control Mobile Robot Coursera Week 4 Lesson 3
Control Mobile Robot Coursera Week 4 Lesson 3Control Mobile Robot Coursera Week 4 Lesson 3
About the Course This course investigates how to make mobile robots move in effective, safe, and predictable ways. The basic tool for achieving this is "control theory", which deals with the question of how dynamical systems, i.e., systems whose behaviors change over time, can be effectively influenced. In the course, these two domains - controls and robotics - will be interleaved and we will go from the basics of control theory, via robotic examples of increasing complexity - all the way to the research frontier. The course will focus on mobile robots as the target application and problems that will be covered include (1) how to make (teams -
Control Mobile Robot Coursera Week 4 Lesson 6
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About the Course This course investigates how to make mobile robots move in effective, safe, and predictable ways. The basic tool for achieving this is "control theory", which deals with the question of how dynamical systems, i.e., systems whose behaviors change over time, can be effectively influenced. In the course, these two domains - controls and robotics - will be interleaved and we will go from the basics of control theory, via robotic examples of increasing complexity - all the way to the research frontier. The course will focus on mobile robots as the target application and problems that will be covered include (1) how to make (teams -
Control Mobile Robot Coursera Week 5 Lesson 7
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Interactive Exploration of a Dynamical System
- Duration: 5:47
- Updated: 07 Dec 2013
Interactive Exploration of a Dynamical System Follow us on Twitter - https://twitter.com/ExcellentVideos Facebook - http://www.facebook.com/excellent.randomv...
http://wn.com/Interactive_Exploration_of_a_Dynamical_System
Interactive Exploration of a Dynamical System Follow us on Twitter - https://twitter.com/ExcellentVideos Facebook - http://www.facebook.com/excellent.randomv...
- published: 06 Oct 2013
- views: 35
- author: ExcellentVideosOnly
Dynamical Modeling with PottersWheel
- Duration: 7:53
- Updated: 26 Aug 2010
PottersWheel is a program to create differential equation based models of dynamical systems like biochemical reaction networks. It can fit a model to experim...
http://wn.com/Dynamical_Modeling_with_PottersWheel
PottersWheel is a program to create differential equation based models of dynamical systems like biochemical reaction networks. It can fit a model to experim...
- published: 02 Aug 2008
- views: 371
- author: tmaiwald
Linear Applications 1
- Duration: 3:46
- Updated: 22 Dec 2013
This is the first video for Linear Applications on http://www.ulearniversity.com.
http://wn.com/Linear_Applications_1
This is the first video for Linear Applications on http://www.ulearniversity.com.
- published: 22 Dec 2013
- views: 10
Linear Applications 2
- Duration: 4:13
- Updated: 22 Dec 2013
This is the second video for Linear Applications on http://www.ulearniversity.com
http://wn.com/Linear_Applications_2
This is the second video for Linear Applications on http://www.ulearniversity.com
- published: 22 Dec 2013
- views: 7
Non Linear Eiffel Tower Warp
- Duration: 0:04
- Updated: 09 May 2012
http://wn.com/Non_Linear_Eiffel_Tower_Warp
- published: 09 May 2012
- views: 25
Algebra 1: Fitting Equations to Data
- Duration: 4:58
- Updated: 06 May 2014
Rim of the World Unified School District Math Teacher Mr. Dave Esquer Teaches Algebra 1 Math Studies!
We hope these math videos help you out in your educational path, and can help you pass your tests! Comment below and help others with questions, as we may not see the comments in time.
Enjoy!
Rim High School Social Media
If you want a copy of these videos, please contact us for permission to download, as these videos are under the sole possession of Rim of the World Unified School District, and permission given to Rim of the World High School for Hosting on YouTube.
rhssocial@rimsd.k12.ca.us
http://wn.com/Algebra_1_Fitting_Equations_to_Data
Rim of the World Unified School District Math Teacher Mr. Dave Esquer Teaches Algebra 1 Math Studies!
We hope these math videos help you out in your educational path, and can help you pass your tests! Comment below and help others with questions, as we may not see the comments in time.
Enjoy!
Rim High School Social Media
If you want a copy of these videos, please contact us for permission to download, as these videos are under the sole possession of Rim of the World Unified School District, and permission given to Rim of the World High School for Hosting on YouTube.
rhssocial@rimsd.k12.ca.us
- published: 06 May 2014
- views: 2
Video 1 Introduction to Linear Equations
- Duration: 6:07
- Updated: 08 Nov 2013
http://wn.com/Video_1_Introduction_to_Linear_Equations
- published: 08 Nov 2013
- views: 15
Linear Measurement- Capacity
- Duration: 0:43
- Updated: 16 Dec 2013
13
http://wn.com/Linear_Measurement-_Capacity
13
- published: 16 Dec 2013
- views: 3
- published: 03 Apr 2013
- views: 3
Review part 3
- Duration: 5:48
- Updated: 08 Jan 2014
linear and economic review part 3
http://wn.com/Review_part_3
linear and economic review part 3
- published: 08 Jan 2014
- views: 9
Bifurcationtelling
- Duration: 3:04
- Updated: 26 Apr 2012
Bifurcations of the dynamical system determined by:
X = Y + A(t) * sin( B(t) * X ) mod one
For more information, please see: http://poibella.org/viz
Music: "Storytelling" by Belle and Sebastian
http://wn.com/Bifurcationtelling
Bifurcations of the dynamical system determined by:
X = Y + A(t) * sin( B(t) * X ) mod one
For more information, please see: http://poibella.org/viz
Music: "Storytelling" by Belle and Sebastian
- published: 26 Apr 2012
- views: 29
Linear Measurement- Length
- Duration: 0:41
- Updated: 16 Dec 2013
3
http://wn.com/Linear_Measurement-_Length
3
- published: 16 Dec 2013
- views: 6
Control Mobile Robot Coursera Week 4 Lesson 3
- Duration: 10:10
- Updated: 04 Aug 2014
About the Course
This course investigates how to make mobile robots move in effective, safe, and predictable ways. The basic tool for achieving this is "control theory", which deals with the question of how dynamical systems, i.e., systems whose behaviors change over time, can be effectively influenced. In the course, these two domains - controls and robotics - will be interleaved and we will go from the basics of control theory, via robotic examples of increasing complexity - all the way to the research frontier. The course will focus on mobile robots as the target application and problems that will be covered include (1) how to make (teams of) wheeled ground robots avoid collisions while reaching target locations, (2) how to make aerial, quadrotor robots follow paths in the presence of severe disturbances, and (3) how to locomotive bipedal, humanoid robots.
While the main focus of this course is theory, it is important to be able to map the theory onto an actual physical platform. As such, the course will provide detailed instructions on how to build a mobile robot from scratch as an optional part of the course. In addition, an introduction into microcontrollers, mechatronics, and electronics will be given so that, by the end of the course, the controllers developed in the course can run on an actual mobile robot.
The course will also feature optional programming assignments, which will focus on implementing the controllers developed in this course for a mobile robot. A MATLAB-based simulator will be available run controllers from the programming assignments on a simulated robot or on the mobile robot built in this course. As a result of support from MathWorks, a downloadable license for MATLAB and course recommended toolboxes will be available for the duration of the MOOC.
Recommended Background
Working knowledge of basic calculus, linear algebra and differential equations is recommended.
Course Format
The class will consist of lecture videos, which are between 8 and 12 minutes in length. These contain 1-2 integrated quiz questions per video. There will also be standalone homework and a final exam.
FAQ
Will I get a certificate after completing this class?
A Statement of Accomplishment will be provided to students who successfully complete the class.
What resources will I need for this class?
A sharp pen and an inquisitive mind.
What is the coolest thing I'll learn if I take this class?
How to harness the awesome power of control theory to make robots do amazing things!
http://wn.com/Control_Mobile_Robot_Coursera_Week_4_Lesson_3
About the Course
This course investigates how to make mobile robots move in effective, safe, and predictable ways. The basic tool for achieving this is "control theory", which deals with the question of how dynamical systems, i.e., systems whose behaviors change over time, can be effectively influenced. In the course, these two domains - controls and robotics - will be interleaved and we will go from the basics of control theory, via robotic examples of increasing complexity - all the way to the research frontier. The course will focus on mobile robots as the target application and problems that will be covered include (1) how to make (teams of) wheeled ground robots avoid collisions while reaching target locations, (2) how to make aerial, quadrotor robots follow paths in the presence of severe disturbances, and (3) how to locomotive bipedal, humanoid robots.
While the main focus of this course is theory, it is important to be able to map the theory onto an actual physical platform. As such, the course will provide detailed instructions on how to build a mobile robot from scratch as an optional part of the course. In addition, an introduction into microcontrollers, mechatronics, and electronics will be given so that, by the end of the course, the controllers developed in the course can run on an actual mobile robot.
The course will also feature optional programming assignments, which will focus on implementing the controllers developed in this course for a mobile robot. A MATLAB-based simulator will be available run controllers from the programming assignments on a simulated robot or on the mobile robot built in this course. As a result of support from MathWorks, a downloadable license for MATLAB and course recommended toolboxes will be available for the duration of the MOOC.
Recommended Background
Working knowledge of basic calculus, linear algebra and differential equations is recommended.
Course Format
The class will consist of lecture videos, which are between 8 and 12 minutes in length. These contain 1-2 integrated quiz questions per video. There will also be standalone homework and a final exam.
FAQ
Will I get a certificate after completing this class?
A Statement of Accomplishment will be provided to students who successfully complete the class.
What resources will I need for this class?
A sharp pen and an inquisitive mind.
What is the coolest thing I'll learn if I take this class?
How to harness the awesome power of control theory to make robots do amazing things!
- published: 04 Aug 2014
- views: 0
Control Mobile Robot Coursera Week 4 Lesson 6
- Duration: 5:58
- Updated: 04 Aug 2014
About the Course
This course investigates how to make mobile robots move in effective, safe, and predictable ways. The basic tool for achieving this is "control theory", which deals with the question of how dynamical systems, i.e., systems whose behaviors change over time, can be effectively influenced. In the course, these two domains - controls and robotics - will be interleaved and we will go from the basics of control theory, via robotic examples of increasing complexity - all the way to the research frontier. The course will focus on mobile robots as the target application and problems that will be covered include (1) how to make (teams of) wheeled ground robots avoid collisions while reaching target locations, (2) how to make aerial, quadrotor robots follow paths in the presence of severe disturbances, and (3) how to locomotive bipedal, humanoid robots.
While the main focus of this course is theory, it is important to be able to map the theory onto an actual physical platform. As such, the course will provide detailed instructions on how to build a mobile robot from scratch as an optional part of the course. In addition, an introduction into microcontrollers, mechatronics, and electronics will be given so that, by the end of the course, the controllers developed in the course can run on an actual mobile robot.
The course will also feature optional programming assignments, which will focus on implementing the controllers developed in this course for a mobile robot. A MATLAB-based simulator will be available run controllers from the programming assignments on a simulated robot or on the mobile robot built in this course. As a result of support from MathWorks, a downloadable license for MATLAB and course recommended toolboxes will be available for the duration of the MOOC.
Recommended Background
Working knowledge of basic calculus, linear algebra and differential equations is recommended.
Course Format
The class will consist of lecture videos, which are between 8 and 12 minutes in length. These contain 1-2 integrated quiz questions per video. There will also be standalone homework and a final exam.
FAQ
Will I get a certificate after completing this class?
A Statement of Accomplishment will be provided to students who successfully complete the class.
What resources will I need for this class?
A sharp pen and an inquisitive mind.
What is the coolest thing I'll learn if I take this class?
How to harness the awesome power of control theory to make robots do amazing things!
http://wn.com/Control_Mobile_Robot_Coursera_Week_4_Lesson_6
About the Course
This course investigates how to make mobile robots move in effective, safe, and predictable ways. The basic tool for achieving this is "control theory", which deals with the question of how dynamical systems, i.e., systems whose behaviors change over time, can be effectively influenced. In the course, these two domains - controls and robotics - will be interleaved and we will go from the basics of control theory, via robotic examples of increasing complexity - all the way to the research frontier. The course will focus on mobile robots as the target application and problems that will be covered include (1) how to make (teams of) wheeled ground robots avoid collisions while reaching target locations, (2) how to make aerial, quadrotor robots follow paths in the presence of severe disturbances, and (3) how to locomotive bipedal, humanoid robots.
While the main focus of this course is theory, it is important to be able to map the theory onto an actual physical platform. As such, the course will provide detailed instructions on how to build a mobile robot from scratch as an optional part of the course. In addition, an introduction into microcontrollers, mechatronics, and electronics will be given so that, by the end of the course, the controllers developed in the course can run on an actual mobile robot.
The course will also feature optional programming assignments, which will focus on implementing the controllers developed in this course for a mobile robot. A MATLAB-based simulator will be available run controllers from the programming assignments on a simulated robot or on the mobile robot built in this course. As a result of support from MathWorks, a downloadable license for MATLAB and course recommended toolboxes will be available for the duration of the MOOC.
Recommended Background
Working knowledge of basic calculus, linear algebra and differential equations is recommended.
Course Format
The class will consist of lecture videos, which are between 8 and 12 minutes in length. These contain 1-2 integrated quiz questions per video. There will also be standalone homework and a final exam.
FAQ
Will I get a certificate after completing this class?
A Statement of Accomplishment will be provided to students who successfully complete the class.
What resources will I need for this class?
A sharp pen and an inquisitive mind.
What is the coolest thing I'll learn if I take this class?
How to harness the awesome power of control theory to make robots do amazing things!
- published: 04 Aug 2014
- views: 0
Control Mobile Robot Coursera Week 5 Lesson 7
- Duration: 6:28
- Updated: 04 Aug 2014
About the Course This course investigates how to make mobile robots move in effective, safe, and predictable ways. The basic tool for achieving this is "cont...
http://wn.com/Control_Mobile_Robot_Coursera_Week_5_Lesson_7
About the Course This course investigates how to make mobile robots move in effective, safe, and predictable ways. The basic tool for achieving this is "cont...
- published: 04 Aug 2014
- views: 1
- author: MOOC Kang
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50:27
Lec 27 | MIT 18.03 Differential Equations, Spring 2006
Sketching Solutions of 2x2 Homogeneous Linear System with Constant Coefficients View the c...
published: 17 Jan 2008
author: MIT OpenCourseWare
Lec 27 | MIT 18.03 Differential Equations, Spring 2006
Lec 27 | MIT 18.03 Differential Equations, Spring 2006
Sketching Solutions of 2x2 Homogeneous Linear System with Constant Coefficients View the complete course: http://ocw.mit.edu/18-03S06 License: Creative Commo...- published: 17 Jan 2008
- views: 52637
- author: MIT OpenCourseWare
47:11
Lec 31 | MIT 18.03 Differential Equations, Spring 2006
Non-linear Autonomous Systems: Finding the Critical Points and Sketching Trajectories; the...
published: 17 Jan 2008
author: MIT OpenCourseWare
Lec 31 | MIT 18.03 Differential Equations, Spring 2006
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Non-linear Autonomous Systems: Finding the Critical Points and Sketching Trajectories; the Non-linear Pendulum. View the complete course: http://ocw.mit.edu/...- published: 17 Jan 2008
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System Dynamics and Control: Module 3 - Mathematical Modeling Part I
Discussion of differential equations as a representation of dynamic systems. Introduction ...
published: 18 Aug 2013
author: Rick Hill
System Dynamics and Control: Module 3 - Mathematical Modeling Part I
System Dynamics and Control: Module 3 - Mathematical Modeling Part I
Discussion of differential equations as a representation of dynamic systems. Introduction to the Laplace Transform as a tool for solving differential equations.- published: 18 Aug 2013
- views: 4699
- author: Rick Hill
101:13
Dynamical Systems
Mathematics of Complexity lecture 3 Class description: We've all heard the buzzwords - cha...
published: 27 Oct 2012
author: Stanford Complexity Group
Dynamical Systems
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- views: 3436
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Multiagent Dynamical Systems
I will show how to model multiagent systems using dynamical systems theory by deriving a c...
published: 04 May 2012
author: Bill Broadley
Multiagent Dynamical Systems
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I will show how to model multiagent systems using dynamical systems theory by deriving a class of macroscopic differential equations that describe mutual ada...- published: 04 May 2012
- views: 1356
- author: Bill Broadley
18:01
Fixed points and stability of a nonlinear system
Find the fixed points and determines the linear stability of a system of two first-order n...
published: 11 Nov 2013
author: Prof. Jeffrey Chasnov
Fixed points and stability of a nonlinear system
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Find the fixed points and determines the linear stability of a system of two first-order nonlinear differential equations. Lecture notes at http://www.math.u...- published: 11 Nov 2013
- views: 2789
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53:31
Logical Analysis of Hybrid Systems
RI Seminar, February 18, 2011 Andre Platzer Assistant Professor, Computer Science Departme...
published: 17 Mar 2011
author: cmurobotics
Logical Analysis of Hybrid Systems
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RI Seminar, February 18, 2011 Andre Platzer Assistant Professor, Computer Science Department, Carnegie Mellon University Hybrid systems model cyber-physical ...- published: 17 Mar 2011
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Lecture 1 | Introduction to Linear Dynamical Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, g...
published: 09 Jul 2008
author: Stanford
Lecture 1 | Introduction to Linear Dynamical Systems
Lecture 1 | Introduction to Linear Dynamical Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, gives an overview of the course, Introduction to Linear Dynamical Sy...- published: 09 Jul 2008
- views: 94697
- author: Stanford
65:52
Lecture 2 | Introduction to Linear Dynamical Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, l...
published: 09 Jul 2008
author: Stanford
Lecture 2 | Introduction to Linear Dynamical Systems
Lecture 2 | Introduction to Linear Dynamical Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on linear functions for the course, Introduction to Linear ...- published: 09 Jul 2008
- views: 45047
- author: Stanford
79:11
Lecture 3 | Introduction to Linear Dynamical Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, g...
published: 09 Jul 2008
author: Stanford
Lecture 3 | Introduction to Linear Dynamical Systems
Lecture 3 | Introduction to Linear Dynamical Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, gives a review of linear algebra for the course, Introduction to Lin...- published: 09 Jul 2008
- views: 28340
- author: Stanford
75:58
Lecture 8 | Introduction to Linear Dynamical Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, l...
published: 09 Jul 2008
author: Stanford
Lecture 8 | Introduction to Linear Dynamical Systems
Lecture 8 | Introduction to Linear Dynamical Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on the least norm solutions of undetermined equations for t...- published: 09 Jul 2008
- views: 12521
- author: Stanford
71:42
Lecture 10 | Introduction to Linear Dynamical Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, l...
published: 09 Jul 2008
author: Stanford
Lecture 10 | Introduction to Linear Dynamical Systems
Lecture 10 | Introduction to Linear Dynamical Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on autonomous linear dynamical systems and how they relate ...- published: 09 Jul 2008
- views: 12782
- author: Stanford
68:55
Lecture 11 | Introduction to Linear Dynamical Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, l...
published: 09 Jul 2008
author: StanfordUniversity
Lecture 11 | Introduction to Linear Dynamical Systems
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Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on how to find solutions via LaPlace transform and the use ...- published: 09 Jul 2008
- views: 10336
- author: StanfordUniversity
73:37
Lecture 12 | Introduction to Linear Dynamical Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, l...
published: 09 Jul 2008
author: Stanford
Lecture 12 | Introduction to Linear Dynamical Systems
Lecture 12 | Introduction to Linear Dynamical Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on matrix exponentials, eigenvectors, and diagonalization a...- published: 09 Jul 2008
- views: 12212
- author: Stanford
Youtube results:
73:01
Lecture 13 | Introduction to Linear Dynamical Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, l...
published: 09 Jul 2008
author: StanfordUniversity
Lecture 13 | Introduction to Linear Dynamical Systems
Lecture 13 | Introduction to Linear Dynamical Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on generalized eigenvectors, diagonalization, and Jordan ca...- published: 09 Jul 2008
- views: 11103
- author: StanfordUniversity
9:01
State Space Representation ( Dynamic Systems ) | Mechanical Engineering
State Space Representation Dynamic Systems....
published: 03 Aug 2011
author: 4DSCIENCE
State Space Representation ( Dynamic Systems ) | Mechanical Engineering
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State Space Representation Dynamic Systems.- published: 03 Aug 2011
- views: 28006
- author: 4DSCIENCE
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Linear Systems: Matrix Methods | MIT 18.03SC Differential Equations, Fall 2011
Linear Systems: Matrix Methods Instructor: Lydia Bourouiba View the complete course: http:...
published: 04 Jan 2012
author: MIT
Linear Systems: Matrix Methods | MIT 18.03SC Differential Equations, Fall 2011
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- views: 6281
- author: MIT
18:44
Homogeneous Systems of Linear Equations - Intro to Eigenvalue/Eigenvector Method
Gives an overview of the notation and terminology used when working with linear systems of...
published: 06 Nov 2013
Homogeneous Systems of Linear Equations - Intro to Eigenvalue/Eigenvector Method
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Gives an overview of the notation and terminology used when working with linear systems of differential equations. Outlines the method to be used for finding eigenvalues and eigenvectors, which provide solutions for a system of equations.- published: 06 Nov 2013
- views: 21
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47:15
Lecture 6, Systems Represented by Differential Equations | MIT RES.6.007 Signals and Systems
Lecture 6, Systems Represented by Differential Equations Instructor: Alan V. Oppenheim Vie...
published: 02 Sep 2011
author: MIT OpenCourseWare
Lecture 6, Systems Represented by Differential Equations | MIT RES.6.007 Signals and Systems
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Lecture 6, Systems Represented by Differential Equations Instructor: Alan V. Oppenheim View the complete course: http://ocw.mit.edu/RES-6.007S11 License: Cre...- published: 02 Sep 2011
- views: 16138
- author: MIT OpenCourseWare
21:52
Dynamic Behaviour of Engineering Systems 2: The differential equations
This mini lecture examines the mathematical commonality between different types of systems...
published: 03 Jul 2014
author: epselearning
Dynamic Behaviour of Engineering Systems 2: The differential equations
Dynamic Behaviour of Engineering Systems 2: The differential equations
This mini lecture examines the mathematical commonality between different types of systems - mechanical, electrical and thermal.- published: 03 Jul 2014
- views: 46
- author: epselearning
76:19
Lecture 6 | Introduction to Linear Dynamical Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, l...
published: 09 Jul 2008
author: Stanford
Lecture 6 | Introduction to Linear Dynamical Systems
Lecture 6 | Introduction to Linear Dynamical Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on the applications of least squares for the course, Introd...- published: 09 Jul 2008
- views: 15999
- author: Stanford
69:02
Lecture 9 | Introduction to Linear Dynamical Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, l...
published: 09 Jul 2008
author: Stanford
Lecture 9 | Introduction to Linear Dynamical Systems
Lecture 9 | Introduction to Linear Dynamical Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on autonomous linear dynamical systems for the course, Intr...- published: 09 Jul 2008
- views: 14141
- author: Stanford
69:01
Lecture 15 | Introduction to Linear Dynamical Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, l...
published: 09 Jul 2008
author: StanfordUniversity
Lecture 15 | Introduction to Linear Dynamical Systems
Lecture 15 | Introduction to Linear Dynamical Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on inputs and outputs of linear dynamical systems, as well ...- published: 09 Jul 2008
- views: 7797
- author: StanfordUniversity
72:35
Lecture 16 | Introduction to Linear Dynamical Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, l...
published: 09 Jul 2008
author: StanfordUniversity
Lecture 16 | Introduction to Linear Dynamical Systems
Lecture 16 | Introduction to Linear Dynamical Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on the use of symmetric matrices, quadratic forms, matrix n...- published: 09 Jul 2008
- views: 7035
- author: StanfordUniversity
48:25
Differential Equations: The Exponential Map Perspective - Lecture 1
The first in a series of lectures which will examine differential equations from the persp...
published: 06 Sep 2013
author: Brian Palmer
Differential Equations: The Exponential Map Perspective - Lecture 1
Differential Equations: The Exponential Map Perspective - Lecture 1
The first in a series of lectures which will examine differential equations from the perspective of the exponential map. The first lecture starts by consider...- published: 06 Sep 2013
- views: 210
- author: Brian Palmer
38:20
Differential Equations: The Exponential Map Perspective - Lecture 6
The sixth in a series of lectures which will examine differential equations from the persp...
published: 18 Oct 2013
author: Brian Palmer
Differential Equations: The Exponential Map Perspective - Lecture 6
Differential Equations: The Exponential Map Perspective - Lecture 6
The sixth in a series of lectures which will examine differential equations from the perspective of the exponential map. The sixth lecture introduces very ba...- published: 18 Oct 2013
- views: 64
- author: Brian Palmer
20:21
Boris Hasselblatt - Jean Morlet Chair Nov. 2013 to April 2014
INTERVIEW The Jean-Morlet Chair is a scientific collaboration between CIRM -CNRS-SMF-, Aix...
published: 24 Jun 2014
Boris Hasselblatt - Jean Morlet Chair Nov. 2013 to April 2014
Boris Hasselblatt - Jean Morlet Chair Nov. 2013 to April 2014
INTERVIEW The Jean-Morlet Chair is a scientific collaboration between CIRM -CNRS-SMF-, Aix-Marseille Université and the City of Marseille. Two international ...- published: 24 Jun 2014
- views: 58
- author: CIRM Centre International de Rencontres Mathématiques
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5:47
Interactive Exploration of a Dynamical System
Interactive Exploration of a Dynamical System Follow us on Twitter - https://twitter.com/E...
published: 06 Oct 2013
author: ExcellentVideosOnly
Interactive Exploration of a Dynamical System
Interactive Exploration of a Dynamical System
Interactive Exploration of a Dynamical System Follow us on Twitter - https://twitter.com/ExcellentVideos Facebook - http://www.facebook.com/excellent.randomv...- published: 06 Oct 2013
- views: 35
- author: ExcellentVideosOnly
7:53
Dynamical Modeling with PottersWheel
PottersWheel is a program to create differential equation based models of dynamical system...
published: 02 Aug 2008
author: tmaiwald
Dynamical Modeling with PottersWheel
Dynamical Modeling with PottersWheel
PottersWheel is a program to create differential equation based models of dynamical systems like biochemical reaction networks. It can fit a model to experim...- published: 02 Aug 2008
- views: 371
- author: tmaiwald
4:58
Algebra 1: Fitting Equations to Data
Rim of the World Unified School District Math Teacher Mr. Dave Esquer Teaches Algebra 1 Ma...
published: 06 May 2014
Algebra 1: Fitting Equations to Data
Algebra 1: Fitting Equations to Data
Rim of the World Unified School District Math Teacher Mr. Dave Esquer Teaches Algebra 1 Math Studies! We hope these math videos help you out in your educational path, and can help you pass your tests! Comment below and help others with questions, as we may not see the comments in time. Enjoy! Rim High School Social Media If you want a copy of these videos, please contact us for permission to download, as these videos are under the sole possession of Rim of the World Unified School District, and permission given to Rim of the World High School for Hosting on YouTube. rhssocial@rimsd.k12.ca.us- published: 06 May 2014
- views: 2
3:04
Bifurcationtelling
Bifurcations of the dynamical system determined by:
X = Y + A(t) * sin( B(t) * X ) mod on...
published: 26 Apr 2012
Bifurcationtelling
Bifurcationtelling
Bifurcations of the dynamical system determined by: X = Y + A(t) * sin( B(t) * X ) mod one For more information, please see: http://poibella.org/viz Music: "Storytelling" by Belle and Sebastian- published: 26 Apr 2012
- views: 29
10:10
Control Mobile Robot Coursera Week 4 Lesson 3
About the Course
This course investigates how to make mobile robots move in effective, saf...
published: 04 Aug 2014
Control Mobile Robot Coursera Week 4 Lesson 3
Control Mobile Robot Coursera Week 4 Lesson 3
About the Course This course investigates how to make mobile robots move in effective, safe, and predictable ways. The basic tool for achieving this is "control theory", which deals with the question of how dynamical systems, i.e., systems whose behaviors change over time, can be effectively influenced. In the course, these two domains - controls and robotics - will be interleaved and we will go from the basics of control theory, via robotic examples of increasing complexity - all the way to the research frontier. The course will focus on mobile robots as the target application and problems that will be covered include (1) how to make (teams of) wheeled ground robots avoid collisions while reaching target locations, (2) how to make aerial, quadrotor robots follow paths in the presence of severe disturbances, and (3) how to locomotive bipedal, humanoid robots. While the main focus of this course is theory, it is important to be able to map the theory onto an actual physical platform. As such, the course will provide detailed instructions on how to build a mobile robot from scratch as an optional part of the course. In addition, an introduction into microcontrollers, mechatronics, and electronics will be given so that, by the end of the course, the controllers developed in the course can run on an actual mobile robot. The course will also feature optional programming assignments, which will focus on implementing the controllers developed in this course for a mobile robot. A MATLAB-based simulator will be available run controllers from the programming assignments on a simulated robot or on the mobile robot built in this course. As a result of support from MathWorks, a downloadable license for MATLAB and course recommended toolboxes will be available for the duration of the MOOC. Recommended Background Working knowledge of basic calculus, linear algebra and differential equations is recommended. Course Format The class will consist of lecture videos, which are between 8 and 12 minutes in length. These contain 1-2 integrated quiz questions per video. There will also be standalone homework and a final exam. FAQ Will I get a certificate after completing this class? A Statement of Accomplishment will be provided to students who successfully complete the class. What resources will I need for this class? A sharp pen and an inquisitive mind. What is the coolest thing I'll learn if I take this class? How to harness the awesome power of control theory to make robots do amazing things!- published: 04 Aug 2014
- views: 0
5:58
Control Mobile Robot Coursera Week 4 Lesson 6
About the Course
This course investigates how to make mobile robots move in effective, saf...
published: 04 Aug 2014
Control Mobile Robot Coursera Week 4 Lesson 6
Control Mobile Robot Coursera Week 4 Lesson 6
About the Course This course investigates how to make mobile robots move in effective, safe, and predictable ways. The basic tool for achieving this is "control theory", which deals with the question of how dynamical systems, i.e., systems whose behaviors change over time, can be effectively influenced. In the course, these two domains - controls and robotics - will be interleaved and we will go from the basics of control theory, via robotic examples of increasing complexity - all the way to the research frontier. The course will focus on mobile robots as the target application and problems that will be covered include (1) how to make (teams of) wheeled ground robots avoid collisions while reaching target locations, (2) how to make aerial, quadrotor robots follow paths in the presence of severe disturbances, and (3) how to locomotive bipedal, humanoid robots. While the main focus of this course is theory, it is important to be able to map the theory onto an actual physical platform. As such, the course will provide detailed instructions on how to build a mobile robot from scratch as an optional part of the course. In addition, an introduction into microcontrollers, mechatronics, and electronics will be given so that, by the end of the course, the controllers developed in the course can run on an actual mobile robot. The course will also feature optional programming assignments, which will focus on implementing the controllers developed in this course for a mobile robot. A MATLAB-based simulator will be available run controllers from the programming assignments on a simulated robot or on the mobile robot built in this course. As a result of support from MathWorks, a downloadable license for MATLAB and course recommended toolboxes will be available for the duration of the MOOC. Recommended Background Working knowledge of basic calculus, linear algebra and differential equations is recommended. Course Format The class will consist of lecture videos, which are between 8 and 12 minutes in length. These contain 1-2 integrated quiz questions per video. There will also be standalone homework and a final exam. FAQ Will I get a certificate after completing this class? A Statement of Accomplishment will be provided to students who successfully complete the class. What resources will I need for this class? A sharp pen and an inquisitive mind. What is the coolest thing I'll learn if I take this class? How to harness the awesome power of control theory to make robots do amazing things!- published: 04 Aug 2014
- views: 0
Youtube results:
6:28
Control Mobile Robot Coursera Week 5 Lesson 7
About the Course This course investigates how to make mobile robots move in effective, saf...
published: 04 Aug 2014
author: MOOC Kang
Control Mobile Robot Coursera Week 5 Lesson 7
Control Mobile Robot Coursera Week 5 Lesson 7
About the Course This course investigates how to make mobile robots move in effective, safe, and predictable ways. The basic tool for achieving this is "cont...- published: 04 Aug 2014
- views: 1
- author: MOOC Kang
photo: AP / APTN
18 Nov 2014
At least four Israelis have been killed and seven injured in what police say was a "terrorist attack" at a Jerusalem synagogue. Two men armed with axes and knives carried out the attack in the Har Nof neighbourhood. Police say they shot both the attackers dead inside the synagogue ... ....(size: 1.5Kb)
photo: AP Photo / Sayyid Azim
18 Nov 2014
Four people have been stabbed to death by rampaging youths in the Kenyan city of Mombasa, police say. The attacks came hours after police raided two mosques they accuse of having links with militant Islamists in neighbouring Somalia. One person was killed in the police raids and more than 200 were arrested ... 'Raids condemned' ... ....(size: 1.7Kb)
photo: AP / Vadim Ghirda
17 Nov 2014
Syrian opposition officials say the Islamic State has reached a truce with its erstwhile partners in al-Qaida ... Those strikes were billed as a bid to take out the members of Khorasan, a group that few fighters on the ground in Syria seemed to have heard of until recently. U.S ... If it’s real, the merger will shift the dynamics of the very complex battlefield in Syria ... “Really?” I said. “The Americans? I hope it was good training.” ... ....(size: 4.2Kb)
photo: AP / AJ Mast
16 Nov 2014
The Islamic State group has released a graphic video in which a black-clad militant claimed to have beheaded US aid worker Peter Kassig, who was captured last year. The militant was standing over a body, but it was not immediately possible to confirm that it was Mr Kassig, 26, who was pictured in the video ... He speaks in an audible British accent despite his voice being distorted to make it more difficult to identify him ... "Here you are ... ....(size: 7.8Kb)
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Cellular Dynamics and Northwestern University Take First Steps Toward Rebuilding an Organ Using Manufactured Human Cells
Stockhouse18 Nov 2014
To the extent that statements contained in this press release are not descriptions of historical facts regarding Cellular Dynamics International, Inc., including statements regarding the impact or significance of the published research using our products described in this press release, the potential of our products demonstrated by this research, ......(size: 8.1Kb)
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7-GHz ADC drivers bring AC performance to DC-coupled applications TI's fully differential amplifiers improve performance in radar and test and measurement equipment, and wireless base stations
PR Newswire18 Nov 2014
Texas Instruments today announced two new fully differential amplifiers (FDAs) that provide DC-coupled applications with best-in-class AC performance to improve system capabilities and performance ... Texas Instruments today announced two new fully differential amplifiers (FDAs) that provide DC-coupled applications with best-in-class AC performance to improve system capabilities and performance....(size: 5.5Kb)
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PR Newswire
18 Nov 2014
The CyberKnife(R) System Animation Facebook Twitter ... The CyberKnife(R) System Animation ... ARAY) announced today that the first CyberKnife® System in Manhattan is now treating patients at Winthrop University Hospital's NYCyberKnife Center ... The CyberKnife System's ability to automatically stay on target despite patient and tumor motion is what truly differentiates it from other forms of radiation therapy systems....(size: 5.2Kb)
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PR Newswire
18 Nov 2014
NEW YORK, Nov ... He founded Design Forum in 1988 ... "Building profitable, enduring relationships with customers requires a focus on orchestrating their journey and seeking ways to form connections," explains Chidley, a retail and brand strategist who has spent his career helping Fortune 100 clients create differentiating brands and experiences ... Ms ... listening to what customers are saying is a crucial part of the equation." ... ... ....(size: 2.4Kb)
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San Francisco Chronicle
18 Nov 2014
[...] they said higher tuition is needed anyway because the funding, which applies only to UC’s academic budget, equates to an increase of just 1.7 percent — the current rate of U.S ... “It is really unfortunate that this is being brought up,” he said, noting that UC has rejected student leaders’ alternative proposals, such as differential tuition by ......(size: 2.4Kb)
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noodls
18 Nov 2014
Meggitt Awarded $57 million-plus HVAC system from General Dynamics Land Systems-Canada ... the aerospace, defence and energy markets, announces that Meggitt Defence Systems, Irvine, California, has received a $57.3 million contract to provide heating, ventilating and air conditioning (HVAC) systems from General Dynamics Land Systems - Canada (GDLS-C)....(size: 2.8Kb)
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eServGlobal showcases its mobile money solution at the Zain Technology Conference (eServGlobal Limited)
noodls18 Nov 2014
(Source. eServGlobal Limited). Paris, 17 November 2014 ... Scott Gegenheimer, CEO, Zain Group, commented, "ZTC is growing bigger with every passing year, reflecting the development of the dynamic telecommunications industry, where today's innovations are tomorrow's differentiators ... Zain's mobile commerce services have a transformational effect on unbanked populations as they open financial systems to formally excluded population segments....(size: 3.3Kb)
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Solar Array Simulation SoftPanel for Dynamic Shadowed I-V Curve Simulation Up to 4096 Data Points (Chroma Ate Inc)
noodls18 Nov 2014
Solar Array Simulation SoftPanel for Dynamic Shadowed I-V Curve Simulation Up to 4096 Data Points(2014/11/18). The PV Array and PV Inverter are two major parts of a photovoltaic power generation system. The efficient performance of the PV Array and PV Inverter determine the return on investment of a PV power generation system over the long run....(size: 2.4Kb)
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noodls
18 Nov 2014
Rather than develop individual systems to perform well independently, every component and shape is optimized to work in concert; balance is the key ... "The final product is essentially an all-new powerplant unique to GT350 - and one that takes true advantage of the new chassis dynamics of the Mustang platform," said Jamal Hameedi, chief engineer, Ford Global Performance Vehicles ... Balanced Dynamics....(size: 11.1Kb)
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noodls
18 Nov 2014
The ship is a 152,000 DWT Suezmax shuttle tanker equipped with a class 2 dynamic positioning system** and a bow-loading system.*** ... **Class 2 dynamic-positioning system. A more redundant dynamic-positioning system that duplicates all equipment and wiring so that no single fault in an active system will cause the system to fail. ***Bow-loading system....(size: 3.2Kb)
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noodls
18 Nov 2014
Added the possibility to define a sleeptime to a lot of .pl scripts to improve behaviour on production systems ... WORKING WITH EXTERNAL SYSTEMS The GenericInterface now also supports HTTP REST as network transport protocol ... A new configuration option makes it possible to specify which dynamic fields should also be merged when a ticket is merged to another ticket ... Otherwise the system may not work....(size: 8.1Kb)
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Huffington Post
18 Nov 2014
The DNA of good teaching - focused on social and emotional well-being, understanding developmental needs of children, and concerned about the dignity of the learner - is being swapped for test-obsessed, numbers-driven, standardized delivery systems. In the land where test-score-decline can equate to dismissal, data is king ... "[In] that system of no meritocracy, of no differentiation, we're all equal, you don't get performance....(size: 8.6Kb)
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New Codescape Tools From Imagination Deliver Comprehensive MIPS Software Life-Cycle Development Environment
Stockhouse18 Nov 2014
Codescape tools are state-of-the-art, feature-rich solutions for developers using any of our MIPS cores old or new, and also form a key part of Imagination's plans for development and debug of future heterogeneous systems ... Its unique software IP, infrastructure technologies and system solutions enable its customers get to market quickly with complete and highly differentiated SoC platforms....(size: 5.4Kb)
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A differential equation is a mathematical equation for an unknown function of one or several variables that relates the values of the function itself and its derivatives of various orders. Differential equations play a prominent role in engineering, physics, economics, and other disciplines.
Differential equations arise in many areas of science and technology, specifically whenever a deterministic relation involving some continuously varying quantities (modeled by functions) and their rates of change in space and/or time (expressed as derivatives) is known or postulated. This is illustrated in classical mechanics, where the motion of a body is described by its position and velocity as the time value varies. Newton's laws allow one (given the position, velocity, acceleration and various forces acting on the body) to express these variables dynamically as a differential equation for the unknown position of the body as a function of time. In some cases, this differential equation (called an equation of motion) may be solved explicitly.
This page contains text from Wikipedia, the Free Encyclopedia -
http://en.wikipedia.org/wiki/Differential_equation
This article is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License, which means that you can copy and modify it as long as the entire work (including additions) remains under this license.
This article is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License, which means that you can copy and modify it as long as the entire work (including additions) remains under this license.
A dynamical system is a concept in mathematics where a fixed rule describes the time dependence of a point in a geometrical space. Examples include the mathematical models that describe the swinging of a clock pendulum, the flow of water in a pipe, and the number of fish each springtime in a lake.
At any given time a dynamical system has a state given by a set of real numbers (a vector) that can be represented by a point in an appropriate state space (a geometrical manifold). Small changes in the state of the system create small changes in the numbers. The evolution rule of the dynamical system is a fixed rule that describes what future states follow from the current state. The rule is deterministic; in other words, for a given time interval only one future state follows from the current state.
The concept of a dynamical system has its origins in Newtonian mechanics. There, as in other natural sciences and engineering disciplines, the evolution rule of dynamical systems is given implicitly by a relation that gives the state of the system only a short time into the future. (The relation is either a differential equation, difference equation or other time scale.) To determine the state for all future times requires iterating the relation many times—each advancing time a small step. The iteration procedure is referred to as solving the system or integrating the system. Once the system can be solved, given an initial point it is possible to determine all its future positions, a collection of points known as a trajectory or orbit.
This page contains text from Wikipedia, the Free Encyclopedia -
http://en.wikipedia.org/wiki/Dynamical_system
This article is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License, which means that you can copy and modify it as long as the entire work (including additions) remains under this license.
This article is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License, which means that you can copy and modify it as long as the entire work (including additions) remains under this license.
