Reliable synchronization of nonlinear chaotic systems
Mathematics and Computers in Simulation
H∞ controller synthesis via switched PDC scheme for discrete-time T-S fuzzy systems
IEEE Transactions on Fuzzy Systems
H∞ fuzzy control of nonlinear systems under unreliable communication links
IEEE Transactions on Fuzzy Systems
ACC'09 Proceedings of the 2009 conference on American Control Conference
Reliable H∞filter design for a class of continuous-time nonlinear systems with time-varying delay
ACC'09 Proceedings of the 2009 conference on American Control Conference
Adaptive fault-tolerant H∞compensation controller design with actuator failures
ACC'09 Proceedings of the 2009 conference on American Control Conference
Reliable guaranteed cost sampling control for nonlinear time-delay systems
Mathematics and Computers in Simulation
Fuzzy filter design for nonlinear systems in finite- frequency domain
IEEE Transactions on Fuzzy Systems
Adaptive fault-tolerant tracking control of near-space vehicle using takagi-sugeno fuzzy models
IEEE Transactions on Fuzzy Systems
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This paper is concerned with the design of reliable Hinfin fuzzy controllers for continuous-time nonlinear systems with actuator failures. The Takagi and Sugeno fuzzy model is employed to represent a nonlinear system. The objective is to find a stabilizing state-feedback fuzzy controller such that the nominal Hinfin performance is optimized while satisfying a prescribed Hinfin performance constraint in the actuator failure cases. Based on the linear matrix inequality (LMI) techniques, two efficient methods for the design of a suboptimal reliable Hinfin fuzzy controller are proposed. Different Lyapunov functions are used during the design for the nominal and actuator failure cases, which lead to a less conservative controller design. In the first method, a single Lyapunov function is used for the actuator failure cases. The second method adopts a parameter-dependent Lyapunov function for the actuator failure cases, which further reduces the conservatism of the design. Finally, numerical simulations on the chaotic Rossler system are given to illustrate the effectiveness of the proposed design methods