| Decentralized model reference adaptive sliding mode control based on fuzzy model |
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| 引用本文： | Gu Haijun,Zhang Tianping & Shen Qikuen Dept. of Computer,Coll. of Information Engineering,Yangzhou Univ.,Yangzhou 225009,P. R. China. Decentralized model reference adaptive sliding mode control based on fuzzy model[J]. 系统工程与电子技术(英文版), 2006, 17(1): 182-192. DOI: 10.1016/S1004-4132(06)60032-7 |
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| 作者姓名： | Gu Haijun Zhang Tianping & Shen Qikuen Dept. of Computer Coll. of Information Engineering Yangzhou Univ. Yangzhou 225009 P. R. China |
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| 作者单位： | Gu Haijun，Zhang Tianping & Shen Qikuen Dept. of Computer，Coll. of Information Engineering，Yangzhou Univ.，Yangzhou 225009，P. R. China |
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| 基金项目： | 中国科学院资助项目;江苏省教育厅自然科学基金 |
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| 摘 要： | 1.INTRODUCTIONIn recent years,decentralized control of interconnect-ed systems has become an i mportant and challengingtopic[1~3].However,it is usually difficult to modelthe systemexactly due to the complex real environ-ment.In the past several years,active research hasbeen carried out in controller design based on univer-sal approxi mators,such as fuzzy control and neuralnetwork control[4~6].For a class of SISO nonlinearsystems,adaptive fuzzy control approaches were pro-posed based on …
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| 收稿时间： | 2004-10-26 |
Decentralized model reference adaptive sliding mode control based on fuzzy model |
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| Gu Haijun,Zhang Tianping,Shen Qikun. Decentralized model reference adaptive sliding mode control based on fuzzy model[J]. Journal of Systems Engineering and Electronics, 2006, 17(1): 182-192. DOI: 10.1016/S1004-4132(06)60032-7 |
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| Authors: | Gu Haijun Zhang Tianping Shen Qikun |
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| Affiliation: | Dept. of Computer, Coll. of Information Engineering, Yangzhou Univ., Yangzhou 225009, P. R. China |
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| Abstract: | A new design scheme of decentralized model reference adaptive sliding mode controller for a class of MIMO nonlinear systems with the high-order interconnections is proposed. The design is based on the universal approximation capability of the Takagi-Seguno (T-S) fuzzy systems. Motivated by the principle of certainty equivalentcontrol, a decentralized adaptive controller is designed to achieve the tracking objective without computation of the T-S fuzz ymodel. The approach does not require the upper bound of the uncertainty term to be known through some adaptive estimation.By theoretical analysis, the closed-loop fuzzy control system is proven to be globally stable in the sense that all signalsinvolved are bounded, with tracking errors converging to zero. Simulation results demonstrate the effectiveness of the approach. |
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| Keywords: | decentralized control model reference adaptive control sliding mode control fuzzy model global stability |
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