Neural network control-based adaptive learning design for nonlinear systems with full-state constraints

IEEE Transactions on Neural Networks and Learning Systems

Volumn 27, Issue 7, 2016, Pages 1562-1571

  Liu, Yan Jun ^a   Li, Jing ^a   Tong, Shaocheng ^a   Chen, C L Philip ^b  

^a LIAONING UNIVERSITY OF TECHNOLOGY   (China)

^b UNIVERSITY OF MACAU   (Macao)

Author keywords

Adaptive neural control; Barrier Lyapunov function (BLF); Full state constraints; Neural networks (NNs); Nonlinear systems

Indexed keywords

BACKSTEPPING; CLOSED LOOP SYSTEMS; FEEDBACK; FEEDBACK CONTROL; LYAPUNOV FUNCTIONS; NONLINEAR FEEDBACK;

ADAPTIVE BACKSTEPPING DESIGN; ADAPTIVE NEURAL NETWORK CONTROL; BACKSTEPPING DESIGN; BACKSTEPPING PROCEDURE; LEARNING PARAMETERS; NEURAL NETWORK CONTROL; STRICT FEEDBACK SYSTEMS; UNIFORMLY ULTIMATELY BOUNDED;

ADAPTIVE CONTROL SYSTEMS;

EID: 84960532732     PISSN: 2162237X     EISSN: 21622388     Source Type: Journal    
DOI: 10.1109/TNNLS.2015.2508926     Document Type: Article

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