DocumentCode :
425087
Title :
Robust output feedback controller design via genetic algorithms and LMIs: the mixed /spl Hscr//sub 2///spl Hscr//sub /spl infin// problem
Author :
Pereira, Gustavo J. ; De Araújo, Humberto X.
Author_Institution :
Production & Syst. Eng. Graduate Program, Pontifical Catholic Univ. of Parana, Curitiba, Brazil
Volume :
4
fYear :
2004
fDate :
June 30 2004-July 2 2004
Firstpage :
3309
Abstract :
This paper deals with the mixed /spl Hscr//sub 2///spl Hscr//sub /spl infin// control problem for uncertain continuous-time linear systems. The polytopic parametric uncertainties are studied. Based on genetic algorithms (GAs) and linear matrix inequalities (LMIs), a hybrid algorithm is presented for numerical computation of an optimal fixed-order static or dynamic output feedback robust controller. The genetic algorithm is used to obtain the population of controllers and the LMI based routines are used to minimize some performance criterion. The problem is formulated in terms of different Lyapunov functions. This approach can be used for synthesis of reduced or full-order controllers. Some examples borrowed from the literature are discussed to illustrate and validate this approach.
Keywords :
H/sup /spl infin// control; Lyapunov methods; continuous time systems; control system synthesis; feedback; genetic algorithms; linear matrix inequalities; linear systems; reduced order systems; robust control; uncertain systems; LMI; Lyapunov functions; continuous time systems; full order controller synthesis; genetic algorithms; hybrid GA; linear matrix inequalities; linear systems; mixed /spl Hscr//sub 2///spl Hscr//sub /spl infin// control problem; optimal fixed order dynamic controller; optimal fixed order static controller; polytopic parametric uncertainties; reduced order controller synthesis; robust output feedback controller design; uncertain systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2004. Proceedings of the 2004
Conference_Location :
Boston, MA, USA
ISSN :
0743-1619
Print_ISBN :
0-7803-8335-4
Type :
conf
Filename :
1384419
Link To Document :
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