Fixed-order controller design for state space polytopic systems by convex optimization

Alireza Karimi*, Mahdieh Sadat Sadabadi

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

Abstract

In this paper, a new method for fixed-order controller design of systems with polytopic uncertainty in their state space representation is proposed. The approach uses the strictly positive realness (SPRness) of some transfer functions, as a tool to decouple the controller parameters and the Lyapunov matrices and represent the stability conditions and the performance criteria by a set of linear matrix inequalities. The quality of this convex approximation depends on the choice of a central state matrix. It is shown that this central matrix can be computed from a set of initial fixed-order controllers computed for each vertex of the polytope. The stability of the closed-loop polytopic system is guaranteed by a linear parameter dependent Lyapunov matrix. The results are extended to fixed-order H controller design for SISO systems.

Original languageEnglish
Title of host publicationIFAC Joint conference SSSC,FDA, TDS - 5th IFAC Symposium on System Structure and Control, SSSC 2013
Subtitle of host publicationProceedings
EditorsEmmanuel Witrant, John-Jairo Martinez-Molina, Marco Lovera, Olivier Sename, Luc Dugard
PublisherInternational Federation of Automatic Control (IFAC)
Pages683-688
Number of pages6
Edition2
ISBN (Print)9783902823250
DOIs
Publication statusPublished - 23 Feb 2013
Event5th IFAC Symposium on System Structure and Control, SSSC 2013 - Grenoble, France
Duration: 4 Feb 20136 Feb 2013

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
PublisherInternational Federation of Automatic Control
Number2
Volume46
ISSN (Print)1474-6670

Conference

Conference5th IFAC Symposium on System Structure and Control, SSSC 2013
Country/TerritoryFrance
CityGrenoble
Period4/02/136/02/13

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