Titlebook: Control and Filtering of Fuzzy Systems with Switched Parameters; Shanling Dong,Zheng-Guang Wu,Peng Shi Book 2020 Springer Nature Switzerla

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Dissipativity-Based Asynchronous Fuzzy Sliding Mode Control for Fuzzy MJSs,se is to devise an applicable control scheme to ensure that system trajectories are driven onto the user-defined sliding surface in limited time and subsequently operate there. Thus, it has been extensively used, for instance, the finite-time stabilization for continuous-time nonlinear systems [.] a

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Filtering for Discrete-Time Switched Fuzzy Systems with Quantization,nd approach to deal with quantization errors as sector bound uncertainties. By utilizing the fuzzy-basis-dependent Lyapunov function, sufficient conditions are given such that the filtering error system is stochastically stable with the prescribed . or .–. performance index. Slack matrices are intro

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Reliable Filter Design of Fuzzy Switched Systems with Imprecise Modes,ponent aging and so on [.,.,.]. Much more attention has been paid to designing a reliable filter that can tolerate the admissible failures and work successfully, such as the reliable filter design for T–S fuzzy systems [.] and the adaptive reliable filtering problem for continuous-time linear system

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2198-4182 e-independent, mode-dependent, and asynchronous controller/fThis book presents recent advances in control and filter design for Takagi-Sugeno (T-S) fuzzy systems with switched parameters. Thanks to its powerful ability in transforming complicated nonlinear systems into a set of linear subsystems, th

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https://doi.org/10.1007/978-3-658-17241-1t conditions, which ensure the stochastic stability of the closed-loop system with strict dissipativity performance. Moreover, the desired dissipative controller parameters can be obtained via Matlab Toolbox.