DocumentCode :
1631752
Title :
Relaxation analysis via line integral
Author :
Lo, Ji-Chang ; Zhang, Chen-Mou
Author_Institution :
Mech. Eng., Nat. Central Univ., Jhongli, Taiwan
fYear :
2009
Firstpage :
1264
Lastpage :
1269
Abstract :
In this paper, sufficient LMI conditions for the Hinfin state feedback control synthesis of fuzzy control systems consisting of Takagi-Sugeno fuzzy models are proposed for continuous fuzzy systems. Based on a premise-dependent Lyapunov function, we release the conservatism that commonly exists in the common P approach. Particularly, the restriction embedded in continuous-time systems on derivative of mu is removed by introducing Lie derivative to the Lyapunov approach. It is shown that the slack variables employed in this paper provide additional feasibility in solving the Hinfin stabilization problem of fuzzy control systems. Consequently, the stabilization conditions are shown to be more relaxed than others in the existing literature. Numerical simulations appear promising for the proposed method and illuminate the reduction of conservatism clearly.
Keywords :
Hinfin control; Lie algebras; Lyapunov methods; continuous systems; control system synthesis; fuzzy control; fuzzy systems; linear matrix inequalities; relaxation theory; stability; state feedback; Hinfin stabilization problem; Hinfin state feedback control synthesis; LMI condition; Lie derivative; Linear matrix inequality; Takagi-Sugeno fuzzy model; continuous fuzzy system; fuzzy control system; line integral; numerical simulation; premise-dependent Lyapunov function; relaxation analysis; Fuzzy control; Fuzzy systems; Lyapunov method; Mathematical model; Mechanical engineering; Nonlinear systems; Riccati equations; Stability; State feedback; Takagi-Sugeno model; Common P; H control; Linear matrix inequality; Premise-dependent Lyapunov; Relaxation; Takagi-Sugeno fuzzy model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 2009. FUZZ-IEEE 2009. IEEE International Conference on
Conference_Location :
Jeju Island
ISSN :
1098-7584
Print_ISBN :
978-1-4244-3596-8
Electronic_ISBN :
1098-7584
Type :
conf
DOI :
10.1109/FUZZY.2009.5277423
Filename :
5277423
Link To Document :
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