Robust neural network tracking controller using simultaneous perturbation stochastic approximation

IEEE Transactions on Neural Networks

Volumn 19, Issue 5, 2008, Pages 817-835

  Song, Qing ^a   Spall, James C ^b   Soh, Yeng Chai ^a   Ni, Jie ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b JOHNS HOPKINS UNIVERSITY APPLIED PHYSICS LABORATORY   (United States)

Author keywords

Conic sector; Dead zone; Neural network; Simultaneous perturbation stochastic approximation (SPSA)

Indexed keywords

APPROXIMATION THEORY; BACKPROPAGATION ALGORITHMS; CLOSED LOOP SYSTEMS; ESTIMATION; NONLINEAR SYSTEMS; PERTURBATION TECHNIQUES; RANDOM PROCESSES;

CONIC SECTOR; DEAD ZONE; SIMULTANEOUS PERTURBATION STOCHASTIC APPROXIMATION;

NEURAL NETWORKS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; NONLINEAR SYSTEM; REPRODUCIBILITY; STATISTICS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; REPRODUCIBILITY OF RESULTS; STOCHASTIC PROCESSES;

EID: 44349131067     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2007.912315     Document Type: Article

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