Direct adaptive NN control for a class of discrete-time nonlinear strict-feedback systems

Neurocomputing

Volumn 73, Issue 13-15, 2010, Pages 2498-2505

  Liu, Yan Jun ^a   Wen, Guo Xing ^a   Tong, Shao Cheng ^a  

^a LIAONING UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Adaptive control; Neural networks; Nonlinear systems

Indexed keywords

ADAPTIVE CONTROL; ADAPTIVE NEURAL NETWORK CONTROL; BACKSTEPPING CONTROLLER; BACKSTEPPING TECHNIQUE; DESIGN PARAMETERS; DISCRETE TIME SYSTEM; DISCRETE-TIME; FEEDBACK FORMS; NN CONTROL; NONLINEAR DISCRETE-TIME SYSTEMS; ONLINE COMPUTATION BURDEN; SEMI-GLOBALLY UNIFORMLY ULTIMATELY BOUNDED; SIMULATION EXAMPLE; STRICT FEEDBACK SYSTEMS; TRACKING ERRORS;

ALGORITHMS; BACKSTEPPING; DIGITAL CONTROL SYSTEMS; DISCRETE TIME CONTROL SYSTEMS; FEEDBACK CONTROL; FUZZY CONTROL; NEURAL NETWORKS; NONLINEAR FEEDBACK; NONLINEAR SYSTEMS; ONLINE SYSTEMS;

ADAPTIVE CONTROL SYSTEMS;

ALGORITHM; ANALYTIC METHOD; ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER SIMULATION; FEEDBACK SYSTEM; FUZZY SYSTEM; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; METHODOLOGY; NONLINEAR SYSTEM; PRIORITY JOURNAL; THEORY;

EID: 77955324515     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2010.06.001     Document Type: Article

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