Robust Control
Robust reglering

FRT125F, 9 credits

Valid from: Spring 2015
Decided by: FN1/AndersGustafsson
Date of establishment: 2016-01-27

General Information

Division: Automatic Control
Course type: Third-cycle course
Teaching language: English

Aim

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

Goals

Knowledge and Understanding

For a passing grade the doctoral student must

• 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

Competences and Skills

For a passing grade the doctoral student must

• 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

Course Contents

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".

Course Literature

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

Instruction Details

Types of instruction: Lectures, exercises

Examination Details

Examination formats: Written exam, written assignments
Grading scale: Failed, pass
Examiner:

Admission Details

Course Occasion Information

Contact and Other Information

Course coordinators: