EE695R: Introduction to Robust Control

School of Electrical and Computer Engineering

Purdue University

Fall Semester 2003


Announcements:



When and where

EE 115, TTh 12:00-1:15.

Teaching staff

Professor: Venkataramanan Balakrishnan
Office: MSEE 252
Tel: (765) 494-0728
Email:
Office hours: By appointment.

Textbook and optional references

There is no textbook. Complete lecture notes will be made available on the web. Here are some reference texts. A substantial portion of the course will follow the first text, so I recommend getting it. If you are considering buying this text, note that SIAM members get a signficant discount. You may want to pool together book orders and get a SIAM member to order them for you.

Course requirements/exams

You are allowed, even encouraged, to work on the homework in small groups, but you must write up your own homework to hand in.

Grading

Prerequisites

EE602, or consent of instructor. Topics required: finite-dimensional linear algebra, exposure to control and system theory, and basic concepts from functional analysis.

Course description

One of the most useful qualities of a properly designed feedback control system is robustness, i.e., the ability of the closed-loop system to continue performing satisfactorily despite large variations in the (open-loop) plant dynamics. This course will provide an introduction to the analysis and design of robust feedback control systems. Topics covered: modeling and paradigms for robust control; robust stability and measures of robust performance; analysis of robust stability and performance; design for robust stability and performance.

Course outline

Robust control -- motivation and overview

Why robust control?
Examples of important robust control problems

Paradigms for robust control

Sources of uncertainties
Parametric families of polynomials or matrices
Multi-model and polytopic systems
Systems with feedback perturbations: Linear fractional transformations; structured perturbations

Measures of robustness

Robust stability; quadratic stability; stability margins; invariant ellipsoids; decay rate
Reachable sets with input constraints
Output energy and peak
H-2 and H-infinity performance

Computation of robustness measures

Complexity issues
Exact methods for parametric families: Kharitonov and Edge theorems
Polytopic systems: LMI methods
Systems with feedback uncertainties: Small-gain and passivity methods
Systems with structured uncertainties: mu, Km and LMI analysis

Robust synthesis

Polytopic systems: LMI methods
Systems with feedback uncertainties
Systems with structured uncertainties
Gain-scheduled control