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Fuzzy-neural network adaptive sliding mode tracking control for interconnected system
Zhang, Yan-xin; Dong, Hai-rong; Huang, DS; Li, K; Irwin, GW
2006
发表期刊COMPUTATIONAL INTELLIGENCE, PT 2, PROCEEDINGS
卷号4114页码:127-133
文章类型Article
摘要Fuzzy neural network adaptive tracking controller is designed to realize the tracking control for a class of unknown nonlinear interconnected systems. No constraint or matching conditions of the uncertain terms are required. For the low dimensions unknown dynamic of the subsystems and the high one of the interconnected terms, two classes of fuzzy rules are adopted respectively to approximate the unknowns. The neural network is used to counteract the extra gains of the controller. The fuzzy sliding mode control is developed to compensate for the exterior disturb and the fuzzy neural network approximation errors. By the Simultaneity, based on Lyapunov method, the parameters of the systems are regulated on line by the adaptive laws. Global asymptotic stability is assured with the tracking errors converging to a neighborhood of zero.
WOS标题词Science & Technology ; Technology
收录类别ISTP ; SCI
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence
WOS记录号WOS:000240083300016
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9208
专题09年以前成果
作者单位1.Beijing Jiaotong Univ, Sch Elect & Informat Engn, Inst Automat Control, Beijing 100044, Peoples R China
2.Chinese Acad Sci, Key Lab Complex Syst & Intelligence Sci, Beijing 100044, Peoples R China
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GB/T 7714
Zhang, Yan-xin,Dong, Hai-rong,Huang, DS,et al. Fuzzy-neural network adaptive sliding mode tracking control for interconnected system[J]. COMPUTATIONAL INTELLIGENCE, PT 2, PROCEEDINGS,2006,4114:127-133.
APA Zhang, Yan-xin,Dong, Hai-rong,Huang, DS,Li, K,&Irwin, GW.(2006).Fuzzy-neural network adaptive sliding mode tracking control for interconnected system.COMPUTATIONAL INTELLIGENCE, PT 2, PROCEEDINGS,4114,127-133.
MLA Zhang, Yan-xin,et al."Fuzzy-neural network adaptive sliding mode tracking control for interconnected system".COMPUTATIONAL INTELLIGENCE, PT 2, PROCEEDINGS 4114(2006):127-133.
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