A mode-dependent stability criterion for delayed discrete-time stochastic neural networks with Markovian jumping parameters

Neurocomputing

Volumn 73, Issue 7-9, 2010, Pages 1491-1500

  Ou, Yan ^a   Shi, Peng ^b   Liu, Hongyang ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b UNIVERSITY OF GLAMORGAN   (United Kingdom)

Author keywords

Free weighting matrix method; Markovian jumping parameters; Mode dependent delay; Stochastic neural networks

Indexed keywords

BROWNIAN MOTION; DELAY PARTITIONING; DEPENDENT STABILITY; DISCRETE-TIME; FREE-WEIGHTING MATRIX METHOD; JUMPING PARAMETERS; LYAPUNOV-KRASOVSKII FUNCTIONALS; MARKOVIAN JUMPING PARAMETERS; NUMERICAL EXAMPLE; STOCHASTIC DISTURBANCES; STOCHASTIC NEURAL NETWORK;

BROWNIAN MOVEMENT; LINEAR MATRIX INEQUALITIES; LYAPUNOV FUNCTIONS; MARKOV PROCESSES; STABILITY CRITERIA; STOCHASTIC SYSTEMS; UNCERTAIN SYSTEMS;

NEURAL NETWORKS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CRITERION VARIABLE; DATA ANALYSIS; DISCRETE TIME STOCHASTIC NEURAL NETWORK; MARKOVIAN JUMPING PARAMETER; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; PRIORITY JOURNAL; PROBABILITY; STATISTICAL MODEL; STATISTICAL PARAMETERS; STOCHASTIC MODEL;

EID: 77649238848     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2009.11.004     Document Type: Article

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