Quantized dissipative control based on T-S fuzzy model for wind generation systems
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Xiao Cai1, Jun Wang2, Kaibo Shi3
1School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, PR China; Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou 313001, PR China.
Abstract:
In this paper, we address the extended dissipativity (ED) performance of delayed T-S fuzzy model (TSFM)-based wind generation systems (WGSs). First, a concept of coupled leakage time-varying delay (CLTVD) is proposed to construct a more widespread TSFM. Second, the relaxed term with time-delay-product function (TDPF) is introduced. Then, a befitting Lyapunov-Krasovskii functional (LKF) is constructed, which can handle the delay and its derivation. Third, by using valid integral inequalities, new stabilization criteria are established. Meanwhile, the desired fuzzy quantized control with CLTVD is designed. Finally, simulation results are given to show the validity and superiority of our derived results.
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