EE263 Introduction to Linear Dynamical SystemsAutumn Quarter 2014
Lectures
Review sessions
Course descriptionApplied linear algebra and linear dynamical systems with applications to circuits, signal processing, communications, and control systems. Topics: leastsquares approximations of overdetermined equations, and leastnorm solutions of underdetermined equations. Symmetric matrices, matrix norm, and singularvalue decomposition. Eigenvalues, left and right eigenvectors, with dynamical interpretation. Matrix exponential, stability, and asymptotic behavior. Multiinput/multioutput systems, impulse and step matrices; convolution and transfermatrix descriptions. Control, reachability, and state transfer; observability and leastsquares state estimation. Prerequisites: linear algebra and matrices as in MATH104; differential equations and Laplace transforms as in EE102A. InstructorsProfessor Sanjay Lall and teaching assistants Aditya Timmaraju, Reza Takapoui, Bobbie Chern, Philip Lee, and Jiafan Yu. AnnouncementsWe are using Piazza. We'll post most announcements there, not here, so make sure you join. Reference materialThere are no required or optional textbooks. Everything we will use will be posted on the course website. However, several texts can serve as auxiliary or reference texts.
You will not need these books, and none of them cover exactly the material that we will be covering. We only list them in case you want to consult some additional references. Course requirements and grading
