Adaptive neural control of MIMO nonlinear systems with a block-triangular pure-feedback control structure

IEEE Transactions on Neural Networks and Learning Systems

Volumn 25, Issue 11, 2014, Pages 2017-2029

  Chen, Zhenfeng ^a   Ge, Shuzhi Sam ^b,c   Zhang, Yun ^d   Li, Yanan ^e  

^a GUANGDONG POLYTECHNIC NORMAL UNIVERSITY   (China)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^c UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

^d GUANGDONG UNIVERSITY OF TECHNOLOGY   (China)

^e INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

Author keywords

Adaptive neural control; backstepping; coupling; multiinput multioutput (MIMO) nonlinear systems; neural networks (NNs).

Indexed keywords

COUPLINGS;

ADAPTIVE NEURAL CONTROL; MIMO NONLINEAR SYSTEMS; MULTI-INPUT-MULTIOUTPUT; NEURAL NETWORKS (NNS); PURE FEEDBACKS;

BACKSTEPPING;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; COMPUTER SIMULATION; FEEDBACK SYSTEM; HUMAN; NONLINEAR SYSTEM; TIME; UNCERTAINTY;

ALGORITHMS; COMPUTER SIMULATION; FEEDBACK; HUMANS; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; TIME FACTORS; UNCERTAINTY;

EID: 84908109025     PISSN: 2162237X     EISSN: 21622388     Source Type: Journal    
DOI: 10.1109/TNNLS.2014.2302856     Document Type: Article

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