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Decentralized Piecewise Fuzzy Output Feedback Control for Large‐Scale Nonlinear Systems with Time‐Varying Delay
Authors:Zhixiong Zhong  Zhenhua Shao  Tianxiang Chen
Institution:1. High‐Voltage Key Laboratory of Fujian Province, Xiamen University of Technology, Xiamen, China;2. Department of Mechanical Engineering, University of Victoria, Victoria, BC, Canada;3. Fujian Key Lab of Medical Instrument and Pharmaceutical Technology, Fuzhou University, Fujian 350116, China
Abstract:This article addresses the decentralized urn:x-wiley:10762787:media:cplx21804:cplx21804-math-0002 output feedback control for discrete‐time large‐scale nonlinear systems. The considered large‐scale system contains several subsystems with nonlinear interconnection and time‐varying delay, and Takagi–Sugeno model is used to represent each nonlinear subsystem. We aim at designing a decentralized piecewise fuzzy memory dynamic‐output‐feedback (DOF) controller that guarantees the stabilization and urn:x-wiley:10762787:media:cplx21804:cplx21804-math-0003 performance of the resulting closed‐loop control system. First, we propose a model transformation that reformulates the problem of decentralized urn:x-wiley:10762787:media:cplx21804:cplx21804-math-0004 output feedback control into the stability analysis with input–output form. Then, we introduce a piecewise Lyapunov–Krasovskii functional, where all Lyapunov matrices are not necessarily positive definite. By combining with the scaled small gain theorem, the less conservative solution to the problem of decentralized piecewise fuzzy memory urn:x-wiley:10762787:media:cplx21804:cplx21804-math-0005 DOF controller design for the considered system is derived in terms of linear matrix inequalities. The advantage of the proposed method is finally validated using two numerical examples. © 2016 Wiley Periodicals, Inc. Complexity 21: 268–288, 2016
Keywords:large‐scale Takagi–  Sugeno fuzzy systems  nonlinear interconnection  decentralized dynamic output feedback  piecewise Lyapunov–  Krasovskii functional
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