Novel delay-dependent robust stability criteria for neutral stochastic delayed neural networks

Neurocomputing

Volumn 73, Issue 13-15, 2010, Pages 2554-2561

  Chen, Huabin ^a   Zhang, Yong ^b   Hu, Peng ^c  

^a NANCHANG UNIVERSITY   (China)

^b WUHAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^c HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Almost surely exponential stability; Exponential stability; Linear matrix inequality (LMI); Neutral stochastic neural networks; Time varying delays

Indexed keywords

ALMOST SURELY EXPONENTIAL STABILITY; DELAY-DEPENDENT; DELAY-DEPENDENT ROBUST STABILITY; DELAYED NEURAL NETWORKS; EXPONENTIAL STABILITY; GLOBALLY EXPONENTIAL STABILITY; LYAPUNOV-KRASOVSKII FUNCTIONALS; NEUTRAL TYPE; NUMERICAL EXAMPLE; SEMIMARTINGALE CONVERGENCE THEOREM; STOCHASTIC NEURAL NETWORK; SUFFICIENT CONDITIONS; TIME-VARYING DELAY;

ASYMPTOTIC STABILITY; EXPONENTIAL FUNCTIONS; FREQUENCY SELECTIVE FADING; FUZZY CONTROL; LINEAR MATRIX INEQUALITIES; LYAPUNOV FUNCTIONS; NEURAL NETWORKS; ROBUSTNESS (CONTROL SYSTEMS); STOCHASTIC SYSTEMS; SYSTEM STABILITY; TIME VARYING CONTROL SYSTEMS; TIME VARYING NETWORKS; UNCERTAIN SYSTEMS;

STABILITY CRITERIA;

ANALYTIC METHOD; ARTICLE; ARTIFICIAL NEURAL NETWORK; EXPONENTIAL STABILITY; LINEAR MATRIX INEQUALITY; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; MATHEMATICAL PARAMETERS; PRIORITY JOURNAL; STOCHASTIC MODEL; THEORY;

EID: 77955311516     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2010.06.003     Document Type: Article

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