Feedback-linearization-based neural adaptive control for unknown nonaffine nonlinear discrete-time systems

IEEE Transactions on Neural Networks

Volumn 19, Issue 9, 2008, Pages 1615-1625

  Deng, Hua ^a,b   Li, Han Xiong ^c   Wu, Yi Hu ^b,d  

^a BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^b CENTRAL SOUTH UNIVERSITY   (China)

^c CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^d CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Feedback linearization; Neural networks; Nonaffine nonlinear discrete time systems; Nonlinear adaptive control

Indexed keywords

ADAPTIVE SYSTEMS; ARTIFICIAL INTELLIGENCE; CONTINUOUS TIME SYSTEMS; CONTROL SYSTEM STABILITY; CONTROL SYSTEMS; DIGITAL CONTROL SYSTEMS; DISCRETE TIME CONTROL SYSTEMS; FEEDBACK LINEARIZATION; IMAGE CLASSIFICATION; LINEARIZATION; NEURAL NETWORKS; SYSTEM STABILITY; VEGETATION;

ADAPTIVE CONTROL; CLOSED-LOOP SYSTEMS; DEAD-ZONE TECHNIQUE; DISCRETE-TIME SYSTEMS; EQUIVALENT MODELING; FEEDBACK LINEARIZATION METHODS; INPUT-OUTPUT; NEURAL ADAPTIVE CONTROL; NEURAL NETWORK (NN); NEURAL NETWORK ADAPTIVE CONTROL; NONAFFINE NONLINEAR DISCRETE-TIME SYSTEMS; NONLINEAR ADAPTIVE CONTROL; NONLINEAR DISCRETE-TIME SYSTEMS; PERSISTENCE EXCITATION;

ADAPTIVE CONTROL SYSTEMS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; COMPUTER SIMULATION; FEEDBACK SYSTEM; METHODOLOGY; NONLINEAR SYSTEM; SIGNAL PROCESSING; STATISTICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; FEEDBACK; LINEAR MODELS; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; PATTERN RECOGNITION, AUTOMATED; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 52149111148     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2008.2000804     Document Type: Article

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