Fuzzy Hyperbolic Neural Network Model and Its Application in H ∞Filter Design
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks
International Journal of Intelligent Systems Technologies and Applications
New results on H∞ filtering for fuzzy time-delay systems
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Direct adaptive fuzzy control for nonlinear systems with time-varying delays
Information Sciences: an International Journal
Delay-dependent H∞filtering for nonlinear systems via T-S fuzzy model approach
CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
IEEE Transactions on Fuzzy Systems
Decentralized H∞ filter design for discrete-time interconnected fuzzy systems
IEEE Transactions on Fuzzy Systems
Reliable guaranteed cost sampling control for nonlinear time-delay systems
Mathematics and Computers in Simulation
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
International Journal of Automation and Computing
Filtering for discrete fuzzy stochastic systems with sensor nonlinearities
IEEE Transactions on Fuzzy Systems
Adaptive fault-tolerant tracking control of near-space vehicle using takagi-sugeno fuzzy models
IEEE Transactions on Fuzzy Systems
Adaptive fuzzy tracking control of nonlinear MIMO systems with time-varying delays
Fuzzy Sets and Systems
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This paper studies the fuzzy Hinfin filter design problem for signal estimation of nonlinear discrete-time systems with multiple time delays and unknown bounded disturbances. First, the Takagi-Sugeno (T-S) fuzzy model is used to represent the state-space model of nonlinear discrete-time systems with time delays. Next, we design a stable fuzzy Hinfin filter based on the T-S fuzzy model, which guarantees asymptotic stability and a prescribed Hinfin index for the filtering error system, irrespective of the time delays and uncertain disturbances. A sufficient condition for the existence of such a filter is established by using the linear matrix inequality (LMI) approach. The proposed LMI problem can be efficiently solved with global convergence guarantee using convex optimization techniques such as the interior point algorithm. Simulation examples are provided to illustrate the design procedure of the present method.