Robust delay-distribution-dependent stability of discrete-time stochastic neural networks with time-varying delay

Neurocomputing

Volumn 72, Issue 4-6, 2009, Pages 1265-1273

  Zhang, Yijun ^a   Yue, Dong ^b   Tian, Engang ^a  

^a DONGHUA UNIVERSITY   (China)

^b NANJING NORMAL UNIVERSITY   (China)

Author keywords

Delay distribution dependent; Discrete time stochastic neural networks; Linear matrix inequality; Robust exponential stability

Indexed keywords

ANALYSIS TECHNIQUES; BERNOULLI; BROWNIAN MOTIONS; DELAY-DISTRIBUTION-DEPENDENT; DELAYED NEURAL NETWORKS; DEPENDENT STABILITIES; DISCRETE-TIME STOCHASTIC NEURAL NETWORKS; DISTRIBUTION PROBABILITIES; GLOBALLY EXPONENTIALLY STABLES; LINEAR MATRIX INEQUALITY; MEAN SQUARES; NUMERICAL EXAMPLES; PARAMETER UNCERTAINTIES; ROBUST EXPONENTIAL STABILITY; STOCHASTIC DISTURBANCES; STOCHASTIC STABILITIES; STOCHASTIC VARIABLES; TIME- DELAYS; TIME-VARYING DELAYS;

BROWNIAN MOVEMENT; CONTINUOUS TIME SYSTEMS; CONTROL THEORY; LINEAR CONTROL SYSTEMS; LINEAR MATRIX INEQUALITIES; LYAPUNOV METHODS; PROBABILITY; PROBABILITY DISTRIBUTIONS; ROBUSTNESS (CONTROL SYSTEMS); STOCHASTIC MODELS; THREE TERM CONTROL SYSTEMS; TIME DELAY; TIME VARYING CONTROL SYSTEMS; TIME VARYING NETWORKS; TIME VARYING SYSTEMS; UNCERTAIN SYSTEMS; UNCERTAINTY ANALYSIS;

NEURAL NETWORKS;

ANALYTIC METHOD; ARTICLE; ARTIFICIAL NEURAL NETWORK; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MATHEMATICAL PARAMETERS; PRIORITY JOURNAL; PROBABILITY; STANDARDIZATION; STOCHASTIC MODEL;

EID: 58149467910     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2008.01.028     Document Type: Article

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