Synthesis of low-order controllers for LPV systems using LMIs and evolutionary search

Publikationstyp
Conference Paper
Publikationsdatum
2006
Sprache
English
Author
Chughtai, Saulat S. 
Werner, Herbert 
Institut
Regelungstechnik E-14 
TORE-URI
http://hdl.handle.net/11420/14883
Enthalten in
Proceedings of the IEEE Conference on Decision & Control 
Start Page
5784
End Page
5789
Article Number
4177909
Citation
Proceedings of the IEEE Conference on Decision & Control: 5784-5789 (2006)
Contribution to Conference
45th IEEE Conference on Decision and Control, CDC 2006 
Publisher DOI
10.1109/cdc.2006.376727
Scopus ID
2-s2.0-34547294789
Publisher
IEEE
A procedure for designing robust and gain-scheduled controllers for linear parameter-varying (LPV) systems is proposed that exploits known bounds on the rate of parameter variation to reduce conservatism. Recent results on stability analysis of LPV systems with known bounds on the rate of parameter change, using the concept of quadratic separators have been extended to compute a measure of worst-case performance of an LPV system by solving an LMI problem. The problem of synthesizing robust and gain-scheduled controllers leads to a bilinear matrix inequality, and a hybrid approach to solving this problem based on LMI solvers and genetic algorithms is proposed in this paper. Two design examples illustrate the efficiency of the proposed method. © 2006 IEEE.
DDC Class
600: Technik
620: Ingenieurwissenschaften