## EE263: Introduction to Linear Dynamical SystemsStephen Boyd, Stanford University.
## ArchiveThis page is an archive of the course as it was taught by Professor Stephen Boyd in 2008. The materials here should be very close to those used for the video lectures. ## Video lectures## PrerequisitesExposure to linear algebra and matrices (as in Math. 103). You should have seen the following topics: matrices and vectors, (introductory) linear algebra; differential equations, Laplace transform, transfer functions. Exposure to topics such as control systems, circuits, signals and systems, or dynamics is not required, but can increase your appreciation. ## Catalog descriptionIntroduction 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. Control, reachability, state transfer, and least-norm inputs. Observability and least-squares state estimation. EE263 covers some of the same topics, but is complementary to, CME200. ## Course readerThe EE263 course reader is one pdf file consisting of a cover page together with the lecture slides, support notes and homework exercises below. ## Lecture slidesAll lectures, in 2up format, in one pdf file ## Support notesAdditional background notes. Matrix primer notes (slides 1 | slides 2 | slides 3 | quizzes) (All of this material should be*very*familiar to you.)
## Homework problemsAll EE263 homework problems in one file. |