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• W2912352142 abstract "This paper proposes a novel method to synthesize a controller for stabilizing the nonlinear large-scale system which is represented by a large-scale polynomial Takagi-Sugeno (T-S) fuzzy system. The large-scale system consists of a set of the uncertain polynomial T-S fuzzy system with interconnection terms. Modeling the large-scale nonlinear system under the framework of the polynomial form will decrease both the modeling errors and the number of fuzzy rules with respect to the conventional large-scale T-S fuzzy system. In addition, because of the existence of uncertainties, the synthesizing controller for the large-scale polynomial fuzzy system becomes much more challenging and has not been investigated in the previous studies. In this paper, a controller is synthesized to simultaneously eliminate the impact of the uncertainties and stabilize the system. With the aid of Lyapunov theory, sum-of-square technique, and S-procedure, the conditions for controller synthesis are derived in the main theorems. Finally, two examples are illustrated to show the effectiveness and merit of the proposed method." @default.
• W2912352142 created "2019-02-21" @default.
• W2912352142 creator A5044581546 @default.
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• W2912352142 date "2021-04-01" @default.
• W2912352142 modified "2023-09-24" @default.
• W2912352142 title "Polynomial Controller Synthesis for Uncertain Large-Scale Polynomial T–S Fuzzy Systems" @default.
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• W2912352142 doi "https://doi.org/10.1109/tcyb.2019.2895233" @default.
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