Fuzzy Guaranteed Cost Control for Nonlinear systems

Author

Boukas, El-Kébir

Author_Institution

Departement of Mech. Eng., Ecole Polytech. de Montreal, Que.

fYear

2006

fDate

3-6 June 2006

Firstpage

279

Lastpage

283

Abstract

This paper deals with the control of nonlinear continuous-time systems with norm bounded uncertainties. A Takagi-Sugeno (TS)-fuzzy model is used to approximate the class of nonlinear systems under study. Under some appropriate assumptions, a state feedback controller that robustly stabilizes this class of systems and at the same time guarantees the minimal cost is proposed and results to design such controller are developed in the LMI setting. A numerical example is provided to show the efficiency of the proposed theoretical results

Keywords

continuous time systems; control system synthesis; fuzzy control; linear matrix inequalities; nonlinear control systems; robust control; state feedback; uncertain systems; LMI; Takagi-Sugeno fuzzy model; fuzzy guaranteed cost control; nonlinear continuous-time system; norm bounded uncertainties; robust stability; state feedback control; Control systems; Costs; Fuzzy control; Fuzzy systems; Nonlinear control systems; Nonlinear systems; Robust control; State feedback; Takagi-Sugeno model; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Information Processing Society, 2006. NAFIPS 2006. Annual meeting of the North American

Conference_Location

Montreal, Que.

Print_ISBN

1-4244-0363-4

Electronic_ISBN

1-4244-0363-4

Type

conf

DOI

10.1109/NAFIPS.2006.365422

Filename

4216815