Almost sure exponential stability of stochastic cellular neural networks with unbounded distributed delays

Neurocomputing

Volumn 72, Issue 13-15, 2009, Pages 3352-3356

  Huang, Chuangxia ^a,b   Cao, Jinde ^a  

^a SOUTHEAST UNIVERSITY   (China)

^b CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Cellular neural network; Distributed delay; Lyapunov functional; Stability; Stochastic

Indexed keywords

ASYMPTOTIC STABILITY; CONVERGENCE OF NUMERICAL METHODS; DIFFERENTIAL EQUATIONS; INTEGRODIFFERENTIAL EQUATIONS; LYAPUNOV FUNCTIONS; STABILITY CRITERIA; STOCHASTIC SYSTEMS; SYSTEM STABILITY;

ALMOST SURE EXPONENTIAL STABILITIES; DISTRIBUTED DELAYS; LYAPUNOV FUNCTIONALS; NON-LINEAR INTEGRO-DIFFERENTIAL EQUATIONS; SEMIMARTINGALE CONVERGENCE THEOREM; STOCHASTIC; STOCHASTIC CELLULAR NEURAL NETWORKS; UNBOUNDED DISTRIBUTED DELAYS;

CELLULAR NEURAL NETWORKS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; FEEDBACK SYSTEM; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; NONLINEAR SYSTEM; PRIORITY JOURNAL;

EID: 75749095299     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2008.12.030     Document Type: Article

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