Analysis of artificial neural networks for pattern-based adaptive control

IEEE Transactions on Neural Networks

Volumn 17, Issue 5, 2006, Pages 1184-1193

  Sbarbaro, Daniel ^a,b   Johansen, Tor A ^c  

^a IEEE   (Chile)

^b UNIVERSITY OF CONCEPCIÓN   (Chile)

^c NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Norway)

Author keywords

Adaptive control; Neural networks (NNs); Pattern recognition; Proportional integral (PI) control

Indexed keywords

CLOSED LOOP STABILITY PROPERTIES; PATTERN BASED ADAPTIVE CONTROL; PROPORTIONAL INTEGRAL (PI) CONTROL; RESPONSE PATTERNS;

ADAPTIVE ALGORITHMS; CLOSED LOOP CONTROL SYSTEMS; NEURAL NETWORKS; PARAMETER ESTIMATION; PATTERN RECOGNITION; PROPORTIONAL CONTROL SYSTEMS;

ADAPTIVE CONTROL SYSTEMS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; CLUSTER ANALYSIS; COMPUTER ANALYSIS; COMPUTER SIMULATION; FEEDBACK SYSTEM; METHODOLOGY; THEORETICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; COMPUTER SIMULATION; COMPUTING METHODOLOGIES; FEEDBACK; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED;

EID: 33750092471     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2006.879762     Document Type: Article

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