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 of matrix exponentials for the course, Introduction to Linear Dynamical Systems (EE263).

Introduction to applied linear algebra and linear dynamical systems, with applications to circuits, signal processing, communications, and control systems. Topics include: Least-squares aproximations of over-determined equations and least-norm solutions of underdetermined equations. Symmetric matrices, matrix norm and singular value decomposition. Eigenvalues, left and right eigenvectors, and dynamical interpretation. Matrix exponential, stability, and asymptotic behavior. Multi-input multi-output systems, impulse and step matrices; convolution.

Complete Playlist for the Course:
http://www.youtube.com/view_play_list?p=06960BA52D0DB32B

EE 263 Course Website:
http://www.stanford.edu/class/ee263/

Stanford University:
http://www.stanford.edu/

Stanford University Channel on YouTube:
http://www.youtube.com/stanford/

Category:

Education

Tags:

• science
• electrical
• engineering
• technology
• linear
• dynamical
• system
• LaPlace
• transform
• matrix
• exponential
• convergence
• polynomial
• continous
• invariant
• time

[cpbara]

"i" was linked to current because in most or probably all latin languages, but most consequentially french, current, as a concept, exists or not, the value that you measure is the intensity of that current, hence the "i"

[zoecila]

I guess not

[rutturu]

this is not an undergraduate class?