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Robust stability of uncertain Markovian jumping stochastic Cohen-Grossberg type bam neural networks with time-varying delays and reaction diffusion terms

Published: 01 March 2011 Publication History

Abstract

In this paper, the robust exponential stability problem is investigated for a class of uncertain Markovian jumping stochastic Cohen-Grossberg type bidirectional associative memory neural networks (CGBAMNN) with time-varying delays and reaction-diffusion terms. By using the Lyapunov stability theory and linear matrix inequality (LMI) technique, some robust stability conditions guaranteeing the global robust convergence of the equilibrium point are derived. Two numerical examples are given to show the effectiveness of the proposed results.

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Cited By

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  • (2017)Existence, uniqueness and stability of mild solutions to stochastic reactiondiffusion CohenGrossberg neural networks with delays and Wiener processesNeurocomputing10.1016/j.neucom.2017.01.069239:C(19-27)Online publication date: 24-May-2017
  • (2017)Delay-dependent exponential stability of recurrent neural networks with Markovian jumping parameters and proportional delaysNeural Computing and Applications10.1007/s00521-016-2370-028:1(765-773)Online publication date: 1-Jan-2017
  1. Robust stability of uncertain Markovian jumping stochastic Cohen-Grossberg type bam neural networks with time-varying delays and reaction diffusion terms

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        Published In

        cover image Neural, Parallel & Scientific Computations
        Neural, Parallel & Scientific Computations  Volume 19, Issue 1-2
        March-June 2011
        228 pages

        Publisher

        Dynamic Publishers, Inc.

        United States

        Publication History

        Published: 01 March 2011
        Received: 11 June 2010

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        • (2017)Existence, uniqueness and stability of mild solutions to stochastic reactiondiffusion CohenGrossberg neural networks with delays and Wiener processesNeurocomputing10.1016/j.neucom.2017.01.069239:C(19-27)Online publication date: 24-May-2017
        • (2017)Delay-dependent exponential stability of recurrent neural networks with Markovian jumping parameters and proportional delaysNeural Computing and Applications10.1007/s00521-016-2370-028:1(765-773)Online publication date: 1-Jan-2017

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