Neural-Based Adaptive Output-Feedback Control for a Class of Nonstrict-Feedback Stochastic Nonlinear Systems

IEEE Transactions on Cybernetics

Volumn 45, Issue 9, 2015, Pages 1977-1987

  Wang, Huanqing ^a   Liu, Kefu ^b   Liu, Xiaoping ^b   Chen, Bing ^c   Lin, Chong ^c  

^a BOHAI UNIVERSITY   (China)

^b LAKEHEAD UNIVERSITY   (Canada)

^c QINGDAO UNIVERSITY   (China)

Author keywords

Adaptive neural output feedback control; backstepping; nonstrict feedback structure; stochastic nonlinear systems

Indexed keywords

ALGORITHMS; APPROXIMATION ALGORITHMS; BACKSTEPPING; CLOSED LOOP SYSTEMS; FEEDBACK; FEEDBACK CONTROL; NONLINEAR FEEDBACK; NONLINEAR SYSTEMS; RADIAL BASIS FUNCTION NETWORKS; STOCHASTIC CONTROL SYSTEMS; STOCHASTIC SYSTEMS;

ADAPTIVE BACKSTEPPING TECHNIQUE; ADAPTIVE OUTPUT-FEEDBACK CONTROL; NON-STRICT-FEEDBACK; OUTPUT FEEDBACK CONTROLS; RADIAL BASIS FUNCTION NEURAL NETWORKS; SEMI-GLOBALLY UNIFORMLY ULTIMATELY BOUNDED; STOCHASTIC NONLINEAR SYSTEMS; VARIABLE SEPARATION APPROACH;

ADAPTIVE CONTROL SYSTEMS;

ARTIFICIAL NEURAL NETWORK; COMPUTER SIMULATION; FEEDBACK SYSTEM; MARKOV CHAIN; NONLINEAR SYSTEM;

COMPUTER SIMULATION; FEEDBACK; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; STOCHASTIC PROCESSES;

EID: 84939790724     PISSN: 21682267     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCYB.2014.2363073     Document Type: Article

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