摘要
A robustness design of fuzzy control via model-based approach is proposed in this paper to overcome the effect of approximation error between nonlinear system and Takagi-Sugeno (T-S) fuzzy model. T-S fuzz model is used to model the resonant and chaotic systems and the parallel distributed compensation (PDC) is employed to determine structures of fuzzy controllers. Linear matrix inequality (LMI) based design problems are utilized to find common definite matrices P and feedback gains K satisfying stability conditions derived in terms of Lyapunov direct method. Finally, the effectiveness and the feasibility of the proposed controller design method is demonstrated through numerical simulations on the chaotic and resonant systems
原文 | ???core.languages.en_GB??? |
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頁(從 - 到) | 281-295 |
頁數 | 15 |
期刊 | International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems |
卷 | 13 |
發行號 | 3 |
DOIs | |
出版狀態 | 已出版 - 6月 2005 |