16.31 Feedback Control Systems, Fall 2001

Abstract

Introduction to the state-space approach to control system analysis and control synthesis. State-space representation of dynamic systems; controllability and observability; state-space realizations of transfer functions; and canonical forms. Design of controllers using state-space methods, including pole placement and optimal control methods. Introduction to the Kalman filter. Limitations on performance of control systems from classical and state-space perspectives. Introduction to robustness of multivariable control systems, using frequency domain techniques. From the course home page: Course Description The goal of this subject is to teach the fundamentals of control design and analysis using state-space methods. This includes both the practical and theoretical aspects of the topic. By the end of the course, students should be able to design controllers using state-space methods and evaluate whether these controllers are "robust," that is, if they are likely to work well in practice.