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Robust Control For Uncertain Switched Fuzzy Systems Based On T-S Model

Posted on:2014-11-21Degree:MasterType:Thesis
Country:ChinaCandidate:G N TaoFull Text:PDF
GTID:2268330425950701Subject:Control theory and control engineering
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In recent years, with the development of the social and the science, modernindustrial process has become more and more complicated, and as an active researchfield, the nonlinear systems theory makes a rapid progress recently, which plays animportant role in control field.Switched fuzzy system combines the advantages ofswitched system and fuzzy system, and co-exist of continuous dynamics, discretedynamics and fuzzy feature, which is a new class of nonlinear systems. Switchedfuzzy systems have extensive background in practice and significance in theory.The paper focused on the problem of uncertain and time-delay of switched fuzzysystems, and the analysis and research of systems are as follows:(1) Analysis and research on the stability of hybrid control of fuzzy systems. Fuzzy T-S modelis used to model uncertain system, reference promiscuous the thought of hybrid control isquoted to research the continuous switched fuzzy systems, and the stability of uncertain fuzzytime-delay is analyzed based on Lyapunov function, and ultimately the sufficient condition andthe control law design of stability for each system stability are obtained.(2) Since the increasing diversification of the risk of interference in the process, the state ofswitched fuzzy system can not be fully obtained directly, so that the output signal is selected as afeedback signal to ensure the system to achieve the closed-loop system performancerequirements. Based on the theory of the Linear Matrix Inequality (LMI), it is obtained theparameters of static feedback controller can be to make the closed-loop system asymptoticstable, MATLAB and SIMULINK are used to simulated to certificated the feasibility andvalidity of the theoretical derivation.(3) The research of robust control uncertain switched fuzzy systems.The system isanalyzed based on observer theory and Lyapunov function method and a new feedbackcontroller is designed to make the system reach asymptotic steady with the specific switchingstrategy. LMI is used to solve and come to the sufficient conditions which Ensuring system is toasymptotically stable.
Keywords/Search Tags:Switch, Fuzzy Systems, Robust Control, Uncertainty, Lyapunov Function, Linear Matrix Inequalities (LMI)
PDF Full Text Request
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