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Information for lesson "Introduction to Linear Dynamical Systems (EE 263) Stanford"
Description: Applied linear algebra and linear dynamical systems with application to circuits, signal processing, communications, and control systems. Topics: least-squares approximations of over-determined equations and least-norm solutions of underdetermined equations. Symmetric matrices, matrix norm, and singular value decomposition. Eigenvalues, left and right eigenvectors, with dynamical interpretation. Matrix exponential, stability, and asymptotic behavior. Multi-input/multi-output systems, impulse and step matrices; convolution and transfer matrix descriptions. Control, reachability, and state transfer; observability and least-squares state estimation
Resources: OpenCourseware from Yale, UC Berkeley, Stanford, MIT along with many of the World's finest University's.
Professors: Michael Williams
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