Stability Analysis for Uncertain Neural Networks of Neutral Type with Time-Varying Delay in the Leakage Term and Distributed Delay | Zendy

Qi Zhou | Zendy; Xueying Shao | Zendy; Jin Zhu | Zendy; Hamid Reza Karimi | Zendy

Open Access

Stability Analysis for Uncertain Neural Networks of Neutral Type with Time-Varying Delay in the Leakage Term and Distributed Delay

Author(s) -

Qi Zhou,

Xueying Shao,

Jin Zhu,

Hamid Reza Karimi

Publication year - 2013

Publication title -

abstract and applied analysis

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.228

H-Index - 56

eISSN - 1687-0409

pISSN - 1085-3375

DOI - 10.1155/2013/517604

Subject(s) - mathematics , weighting , control theory (sociology) , linear matrix inequality , term (time) , leakage (economics) , stability (learning theory) , type (biology) , mathematical optimization , computer science , control (management) , medicine , ecology , biology , physics , macroeconomics , quantum mechanics , artificial intelligence , machine learning , economics , radiology

The stability problem is investigated for a class of uncertain networks of neutral typewith leakage, time-varying discrete, and distributed delays. Both the parameter uncertainty and thegeneralized activation functions are considered in this paper. New stability results are achieved by constructingan appropriate Lyapunov-Krasovskii functional and employing the free weighting matrices andthe linear matrix inequality (LMI) method. Some numerical examples are given to show the effectivenessand less conservatism of the proposed results

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