Universal neural network control of MIMO uncertain nonlinear systems

IEEE Transactions on Neural Networks and Learning Systems

Volumn 23, Issue 7, 2012, Pages 1163-1169

  Yang, Qinmin ^a   Yang, Zaiyue ^a   Sun, Youxian ^a  

^a STATE KEY LABORATORY OF INDUSTRIAL CONTROL TECHNOLOGY   (China)

Author keywords

Asymptotic convergence; neural networks; Nussbaum gain; online approximators

Indexed keywords

APPROXIMATORS; ASYMPTOTIC CONVERGENCE; EXTERNAL DISTURBANCES; MULTI-INPUT MULTI-OUTPUT; NEURAL NETWORK CONTROL; NUSSBAUM GAIN; SIMULATION ENVIRONMENT; UNCERTAIN NONLINEAR SYSTEMS;

NONLINEAR DYNAMICAL SYSTEMS;

NEURAL NETWORKS;

ALGORITHM; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; COMPUTER SIMULATION; ENVIRONMENT; FEEDBACK SYSTEM; NONLINEAR SYSTEM; STANDARDS; THEORETICAL MODEL; UNCERTAINTY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; ENVIRONMENT; FEEDBACK; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; UNCERTAINTY;

EID: 84876896853     PISSN: 2162237X     EISSN: 21622388     Source Type: Journal    
DOI: 10.1109/TNNLS.2012.2197219     Document Type: Article

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