Summary: EE 650 Fall 2008
Linear Systems Theory
MWF, 2:30pm3:20pm, Holmes 389
Why study linear systems ?
- Many physical systems can be accurately modelled as a linear system around an operating point.
- Well-developed theoretical and computational tools are available for linear systems.
- Linear systems theory forms the basis for many advanced topics such as nonlinear systems, optimal
control, robust control...
- As our computational power is increasing, applications are increasingly arising in many diverse fields.
Examples: feedback controller design; estimator/predictor design; control of communication networks
(flow control, admission control); circuit analysis, simulation, design; economics, finance; aeronautics
applications, navigation, guidance; civil and chemical engineering applications.
This is a fundamental graduate-level course on the modern theory of dynamical systems and control. It
builds on an introductory undergraduate course in control, and emphasizes state space techniques for the
analysis of dynamical systems and the synthesis of control laws meeting given design specifications. To follow
the course, some familiarity with linear algebra would be helpful, although the necessary material will be
reviewed during the course.
Instructor: G¨urdal Arslan, Holmes 440, Phone: 9563432, E-mail: firstname.lastname@example.org
Office Hours: Open