Globally stable adaptive robust tracking control using RBF neural networks as feedforward compensators

Neural Computing and Applications

Volumn 21, Issue 2, 2012, Pages 351-363

  Chen, Weisheng ^a   Jiao, L C ^a   Wu, Jianshe ^a  

^a XIDIAN UNIVERSITY   (China)

Author keywords

Adaptive tracking control; Backstepping; Determination of approximation domain; Feedforward compensators; Globally uniformly ultimate boundedness; Neural networks

Indexed keywords

ADAPTIVE NEURAL NETWORK CONTROL; ADAPTIVE ROBUST TRACKING; ADAPTIVE TRACKING CONTROL; CONTROL APPROACH; DETERMINATION OF APPROXIMATION DOMAIN; FEED-FORWARD COMPENSATOR; FEEDBACK COMPENSATORS; NEURAL NETWORK APPROXIMATION; NEURAL NETWORK STRUCTURES; RADIAL BASIS FUNCTION NEURAL NETWORKS; RBF NEURAL NETWORK; REFERENCE SIGNALS; SIMULATION EXAMPLE; UNIFORMLY ULTIMATE BOUNDEDNESS;

BACKSTEPPING; CLOSED LOOP CONTROL SYSTEMS; CLOSED LOOP SYSTEMS; NAVIGATION;

NEURAL NETWORKS;

EID: 84857656949     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-010-0455-8     Document Type: Article

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