Complete delay-decomposing approach to asymptotic stability for neural networks with time-varying delays

IEEE Transactions on Neural Networks

Volumn 22, Issue 5, 2011, Pages 806-812

  Zeng, Hong Bing ^a,b   He, Yong ^a   Wu, Min ^a   Zhang, Chang Fan ^b  

^a CENTRAL SOUTH UNIVERSITY   (China)

^b HUNAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Delay dependent; neural networks; stability; time varying delay

Indexed keywords

DELAY DEPENDENT STABILITY CRITERION; DELAY-DEPENDENT; INTEGRAL TERMS; LYAPUNOV-KRASOVSKII FUNCTIONALS; NUMERICAL EXAMPLE; TIME-VARYING DELAY; UPPER BOUND;

ASYMPTOTIC STABILITY; NEURAL NETWORKS; NUMERICAL METHODS; TIME VARYING CONTROL SYSTEMS; TIME VARYING NETWORKS;

STABILITY CRITERIA;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; REACTION TIME; TIME;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; NEURAL NETWORKS (COMPUTER); REACTION TIME; TIME FACTORS;

EID: 79955824878     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2011.2111383     Document Type: Article

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