New LMI approach to fuzzy H∞ filter designs
IEEE Transactions on Circuits and Systems II: Express Briefs
New results on H∞ filtering for fuzzy time-delay systems
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Decentralized H∞ filter design for discrete-time interconnected fuzzy systems
IEEE Transactions on Fuzzy Systems
Decentralized fuzzy H∞filtering for nonlinear interconnected systems with multiple time delays
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on gait analysis
Filtering for discrete fuzzy stochastic systems with sensor nonlinearities
IEEE Transactions on Fuzzy Systems
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In this paper, a robust mixed H2/Hinfin filtering problem for continuous-time fuzzy systems subject to parameter uncertainties and multiple time-varying delays in state variables is addressed. The uncertain systems are expressed as Takagi-Sugeno fuzzy models with linear nominal parts and norm-bounded uncertainties. The main objective is to design stable filters that minimize a guaranteed cost index and achieve a prescribed Hinfin performance under worst case disturbance. Based on Lyapunov theory, both delay-independent and delay-dependent sufficient conditions guaranteeing stability and achieving prescribed performances are stated in terms of linear matrix inequalities. Therefore, stable filters can be obtained easily with existing convex algorithms. Lastly, two examples are given to illustrate the proposed design methodology