Global asymptotic stability of stochastic recurrent neural networks with multiple discrete delays and unbounded distributed delays

Applied Mathematics and Computation

Volumn 204, Issue 2, 2008, Pages 680-686

  Balasubramaniam, P ^a   Rakkiyappan, R ^a  

^a GANDHIGRAM RURAL UNIVERSITY   (India)

Author keywords

Global asymptotic stability; Linear matrix inequality; Lyapunov Krasovskii functional; Multiple time varying delays; Stochastic recurrent neural networks; Unbounded distributed delays

Indexed keywords

ARTIFICIAL INTELLIGENCE; ASYMPTOTIC ANALYSIS; ASYMPTOTIC STABILITY; LINEAR CONTROL SYSTEMS; LINEAR MATRIX INEQUALITIES; MATLAB; MATRIX ALGEBRA; NETWORK PROTOCOLS; NEURAL NETWORKS; REINFORCEMENT LEARNING; SENSOR NETWORKS; STOCHASTIC PROGRAMMING; TIME VARYING NETWORKS; UNCERTAIN SYSTEMS;

GLOBAL ASYMPTOTIC STABILITY; LINEAR MATRIX INEQUALITY; LYAPUNOV-KRASOVSKII FUNCTIONAL; MULTIPLE TIME-VARYING DELAYS; STOCHASTIC RECURRENT NEURAL NETWORKS; UNBOUNDED DISTRIBUTED DELAYS;

RECURRENT NEURAL NETWORKS;

EID: 53449094012     PISSN: 00963003     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.amc.2008.05.001     Document Type: Article

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