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 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 and transfer matrix descriptions.

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
• Gauss
• Newton
• vector
• least
• square
• estimation
• NLLS
• equation
• solution

[amarillajanna]

many thanks for these lectures!!! thanks to them i could have passed my linear algebra exam :)

[RafaelAmaral1986]

at 3:00 he commits a tiny mistake on the interpretation of the pareto boundary.

besides that, the best professor I have ever seen. simply unbeliavable.