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• W2130581330 abstract "This paper presents the robust stability analysis and design methodology of the fuzzy feedback linearization control systems. Uncertainty and disturbances with known bounds are assumed to be included in the Takagi-Sugeno (TS) fuzzy models representing the nonlinear plants. L/sub 2/ robust stability of the closed system is analyzed by casting the systems into the diagonal norm bounded linear differential inclusions (DNLDI) formulation. Based on the linear matrix inequality (LMI) optimization programming, a numerical method for finding the maximum stable ranges of the fuzzy feedback linearization control gains is also proposed. To verify the effectiveness of the proposed scheme, the robust stability analysis and control design examples are given." @default.
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• W2130581330 date "2005-02-22" @default.
• W2130581330 modified "2023-09-25" @default.
• W2130581330 title "Robust stable feedback linearization of fuzzy modeled nonlinear systems via LMI's" @default.
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• W2130581330 doi "https://doi.org/10.1109/fuzzy.2004.1375345" @default.
• W2130581330 hasPublicationYear "2005" @default.
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