Interval time-varying delay stability for neural networks

This paper presents a new linear matrix inequality (LMI) stability criterion for continuous-time artificial neural networks (ANN) with interval time-varying delay. The varying-time delay is taken as composition of a nominal positive value subject to a time-varying perturbation. The methodology is ba...

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Bibliographic Details
Published inNeurocomputing (Amsterdam) Vol. 73; no. 13; pp. 2789 - 2792
Main Authors Souza, Fernando de Oliveira, Palhares, Reinaldo Martinez
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.08.2010
Subjects
Interval time-delay
Neural networks
Stability analysis
Neural networks
Stability analysis
Interval time-delay
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Summary:This paper presents a new linear matrix inequality (LMI) stability criterion for continuous-time artificial neural networks (ANN) with interval time-varying delay. The varying-time delay is taken as composition of a nominal positive value subject to a time-varying perturbation. The methodology is based on Gu's discretization technique and a strategy that decouples the system matrices from the Lyapunov functional matrices. Two numerical examples are performed to support the theoretical predictions.
ISSN:0925-2312
1872-8286
DOI:10.1016/j.neucom.2010.04.002