English

If sufficient demand

To learn the fundamental theory and methodology for quatification and optimization of robustness in linear feedback systems.

Stability and performance measures for feedback systems. Models for uncertainty with and without structure. Optimization of system gain using Riccati equations. Optimization of system gain using semi-definite programming. Design through "H-infinity loop shaping".

have basic knowledge of uncertainty descriptions for dynamical systems
understand how the uncertainty descriptions are used for anaysis of stability and performance
understand how optimization is used to improve robustness feedback systems

be able to use computer tools for description of linear dynamical systems with uncertainty
be able to reformulate practical application problems in terms of optimization of computer models
have the competence to interpret optimization results for computer models and draw conclusions for the corresponding control applications

Lectures

Exercises

Written exam

Written assignments

Failed, pass

Zhou, K. & Doyle, J. C.: Essentials of Robust Control. Prentice hall, 1998.

FRT125F

 -01-27

FN1/AndersGustafsson