Decentralized model reference adaptive sliding mode control based on fuzzy model

作     者：Gu Haijun Zhang Tianping Shen Qikun 

作者机构：Dept. of Computer Coll. of Information Engineering Yangzhou Univ. Yangzhou 225009 P. R. China 

出 版 物：《Journal of Systems Engineering and Electronics》 (系统工程与电子技术（英文版）)

年 卷 期：2006年第17卷第1期

页      面：182-186,192页

核心收录：

学科分类：0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0802[工学-机械工程] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 080201[工学-机械制造及其自动化] 

基　　金：ThisprojectwassupportedbytheNationalNaturalScienceFoundationofChina(60074013&10371106) theNaturalSci-enceFoundationofEducationBureauofJiangsuProvince(KK0310067) theFoundationofInformationScienceSubjectGroupofYangzhouUniversity(ISG030606) 

主　　题：decentralized control model reference adaptive control sliding mode control fuzy model global stability. 

摘      要：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 propcsed. The design is based on the universal approximation capability of the Takagi - Seguno （T-S） fuzzy systems. Motivated by the principle of certainty equivalenteontrol, a decentralized adaptive controller is designed to achieve the tracking objective without computafion 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.