Stability analysis of standard genetic regulatory networks with time-varying delays and stochastic perturbations

Neurocomputing

Volumn 74, Issue 17, 2011, Pages 3235-3241

  Li, Yurong ^a,b   Zhu, Yanzheng ^a,b   Zeng, Nianyin ^a,b   Du, Min ^a,b  

^a FUZHOU UNIVERSITY   (China)

^b Fujian Key Laboratory of Medical Instrumentation and Pharmaceutical Technology   (China)

Author keywords

Recurrent neural networks; Stability; Standard genetic regulatory networks; Stochastic perturbation; Time varying delays

Indexed keywords

GENETIC REGULATORY NETWORKS; LINEAR MATRIX INEQUALITY TECHNIQUES; MEAN-SQUARE; NUMERICAL EXAMPLE; S-PROCEDURES; STABILITY ANALYSIS; STANDARD MODEL; STANDARD SOFTWARE; STOCHASTIC DISTURBANCES; STOCHASTIC PERTURBATIONS; SUFFICIENT CONDITIONS; TIME-VARYING DELAY; TIME-VARYING DELAYED; TRANSLATION PROCESS;

BROWNIAN MOVEMENT; CONVERGENCE OF NUMERICAL METHODS; LINEAR MATRIX INEQUALITIES; NUMERICAL METHODS; STABILITY; STANDARDS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; TIME VARYING CONTROL SYSTEMS; TIME VARYING NETWORKS;

RECURRENT NEURAL NETWORKS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; EXPONENTIAL STABILITY; GENE REGULATORY NETWORK; GENETIC ANALYSIS; GENETIC STABILITY; GENETIC TRANSCRIPTION; MATHEMATICAL COMPUTING; MATHEMATICAL PHENOMENA; MOLECULAR DYNAMICS; NONLINEAR SYSTEM; PRIORITY JOURNAL; PROCESS OPTIMIZATION; STANDARDIZATION; STOCHASTIC MODEL; STRUCTURE ANALYSIS; UNCERTAINTY; VALIDATION PROCESS;

EID: 80052959011     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2011.05.008     Document Type: Article

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