Novel robust stability criteria for stochastic Hopfield neural networks with time delays

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 39, Issue 2, 2009, Pages 467-474

  Yang, Rongni ^a   Gao, Huijun ^a   Shi, Peng ^b,c,d  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b UNIVERSITY OF GLAMORGAN   (United Kingdom)

^c VICTORIA UNIVERSITY   (Australia)

^d UNIVERSITY OF SOUTH AUSTRALIA   (Australia)

Author keywords

Hopfield neural networks (HNNs); Lyapunov Krasovskii functional; Robust stability; Stochastic systems; Time delay; Uncertainties

Indexed keywords

DELAY PARTITIONING; DELAY-DEPENDENT STABILITY CRITERION; LYAPUNOV-KRASOVSKII FUNCTIONAL; NUMERICAL EXAMPLES; PARAMETER UNCERTAINTIES; ROBUST STABILITY; STOCHASTIC HNNS; UNCERTAINTIES;

ASYMPTOTIC STABILITY; HOPFIELD NEURAL NETWORKS; NONLINEAR CONTROL SYSTEMS; RANDOM PROCESSES; STABILITY CRITERIA; STOCHASTIC CONTROL SYSTEMS; STOCHASTIC SYSTEMS; SYSTEM STABILITY; TELECOMMUNICATION NETWORKS; TIME DELAY; UNCERTAIN SYSTEMS;

NEURAL NETWORKS;

EID: 64049116250     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2008.2006860     Document Type: Article

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