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Stabilization of controlled positive discrete‐time T‐S fuzzy systems by state feedback control
112
Citations
26
References
2010
Year
Fuzzy LogicFuzzy SystemsEngineeringFuzzy ModelingSufficient ConditionsSystems EngineeringFuzzy OptimizationState Feedback ControlLyapunov AnalysisLinear Matrix InequalitiesFuzzy Control SystemStability
Abstract This paper deals with sufficient conditions of asymptotic stability and stabilization for nonlinear discrete‐time systems represented by a Takagi–Sugeno‐type fuzzy model whose state variables take only nonnegative values at all times t for any nonnegative initial state. This class of systems is called positive systems. The conditions of stabilizability are obtained with state feedback control. This work is based on multiple Lyapunov functions. The results are presented in linear matrix inequalities form. A real plant is studied to illustrate this technique. Copyright © 2010 John Wiley & Sons, Ltd.
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