Neural-network-based robust adaptive control for a class of nonlinear systems

Neural Computing and Applications

Volumn 20, Issue 4, 2011, Pages 557-563

  Lin, Chih Min ^a   Ting, Ang Bung ^a   Li, Ming Chia ^a   Chen, Te Yu ^b  

^a YUAN ZE UNIVERSITY   (Taiwan)

^b CHUNG SHAN INSTITUTE OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

Adaptive control; Chaotic circuit system; Neural network; Uniformly ultimately bounded; Wing rock motion system

Indexed keywords

ADAPTIVE CONTROL; ADAPTIVE LAWS; CHAOTIC CIRCUIT SYSTEM; CHUA'S CHAOTIC CIRCUIT; CLOSED-LOOP; COMPUTATION CONTROLLERS; DESIGN METHODOLOGY; ESTIMATION PERFORMANCE; LYAPUNOV STABILITY ANALYSIS; PRINCIPAL CONTROLLERS; RADIAL BASIS FUNCTION NEURAL NETWORKS; RBF NEURAL NETWORK; ROBUST COMPENSATORS; ROBUST-ADAPTIVE CONTROL; SIMULATION RESULT; SYSTEM DYNAMICS; TRACKING PERFORMANCE; UNIFORMLY ULTIMATELY BOUNDED; WING ROCK MOTION; WING ROCK MOTION SYSTEM;

CHAOTIC SYSTEMS; CONTROL THEORY; CONTROLLERS; NETWORKS (CIRCUITS); NEURAL NETWORKS; NONLINEAR SYSTEMS; RADIAL BASIS FUNCTION NETWORKS; SYSTEM THEORY;

ADAPTIVE CONTROL SYSTEMS;

EID: 79955797853     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-011-0561-2     Document Type: Article

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