New approaches on stability criteria for neural networks with two additive time-varying delay components

Neurocomputing

Volumn 118, Issue , 2013, Pages 150-156

  Xiao, Nan ^a   Jia, Yingmin ^a  

^a BEIHANG UNIVERSITY   (China)

Author keywords

Additive time varying delays; Convex polyhedron method; LMI; Neural networks

Indexed keywords

CONVEX POLYHEDRONS; DELAY DEPENDENT STABILITY CRITERION; LINEAR MATRIX INEQUALITY (LMIS); LMI; LYAPUNOV-KRASOVSKII FUNCTIONALS; NUMERICAL EXAMPLE; STABILITY PROBLEM; TIME-VARYING DELAY;

GEOMETRY; LINEAR MATRIX INEQUALITIES; LYAPUNOV FUNCTIONS; NEURAL NETWORKS; STABILITY CRITERIA;

TIME VARYING CONTROL SYSTEMS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CONVEX POLYHEDRON METHOD; LINEAR SYSTEM; LYAPUNOV KRASOVSKII ANALYSIS; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; PRIORITY JOURNAL; PROCESS DEVELOPMENT; RECIPROCALLY CONVEX METHOD; STABILITY ANALYSIS; STATISTICAL ANALYSIS; TIME SERIES ANALYSIS; VARIANCE;

EID: 84881240805     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2013.02.028     Document Type: Article

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