Title :
Fuzzy Guaranteed Cost Control for Nonlinear systems
Author :
Boukas, El-Kébir
Author_Institution :
Departement of Mech. Eng., Ecole Polytech. de Montreal, Que.
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;
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
DOI :
10.1109/NAFIPS.2006.365422
