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Titlebook: LMI Approach to Analysis and Control of Takagi-Sugeno Fuzzy Systems with Time Delay; Chong Lin,Qing-Guo Wang,Yong He Book 2007 Springer-Ve

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Observer-Based Fuzzy Control: Delay-Independent Method,, which overcomes the drawback of the two-step LMI approach often encountered in the literature. The derivation relies mainly on a matrix decoupling technique using which a resultant matrix inequality can be equivalently converted to strict LMIs.
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Book 2007nyfuzzylogic-basedsystemwherefuzzylogiccanbeusedeither asthebasisfor the representation of di?erent forms of system knowledge or the model for the interactions and relationships among the system variables. Fuzzy systems have proven to be an important tool for modeling complex systems for which, due
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Stability Analysis of T-S Fuzzy Systems,Lyapunov-Krasovskii functional to further reduce the conservatism. Delay-independent stability criteria are listed as easy corollaries of the delay-dependent results. We give several examples to illustrate the use of corresponding results.
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Variable Structure Control for T-S Fuzzy Systems,pproach. Both cases of matched uncertainties and mismatched uncertainties in the state variables are considered. We will use appropriate Lyapunov functionals and Razumikhin Theorem [44] to solve the stabilization problem. We will present various control schemes in terms of LMIs for the VSC design.
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Stabilization Methods for T-S Fuzzy Systems,The preceding chapter addresses the stability analysis for T-S fuzzy systems with time-delay. This chapter focuses on the stabilization problem for T-S fuzzy systems with time-delay. In particular, it aims to present delay-dependent design of state feedback stabilizing fuzzy controllers for T-S fuzzy systems with state delay and input delay.
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Output Tracking Control for T-S Fuzzy Systems,This chapter studies the problem of . output tracking control for nonlinear systems using Takagi-Sugeno fuzzy model approach. Firstly, an LMI-based design method is proposed for achieving the output tracking purpose. Then, the design method is extended to state-delay case.
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Chong Lin,Qing-Guo Wang,Yong HeUp-to-date developments in the analysis and control area for nonlinear time-delay systems using T-S fuzzy model approach.Comprehensive monograph on T-S fuzzy systems with time delay
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