Delay-dependent passivity analysis of time-varying delayed neural networks with leakage and stochastic effects
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2017 by IJETT Journal|
|Year of Publication : 2017|
|Authors : G. Mahendrakumar, R. Manivannan, R. Samidurai
|DOI : 10.14445/22315381/IJETT-V46P217|
G. Mahendrakumar, R. Manivannan, R. Samidurai "Delay-dependent passivity analysis of time-varying delayed neural networks with leakage and stochastic effects", International Journal of Engineering Trends and Technology (IJETT), V46(2),92-107 April 2017. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
This paper deals with the problem of passivity analysis for a class of stochastic neural networks (SNNs) with leakage, discrete and distributed delays. By constructing a suitable Lyapunov- Krasovskii functionals and linear matrix inequality (LMI) approach, which is combined with free- weighting matrix method and stochastic analysis technique. We obtain sufficient delay-dependent criteria for the passivity of the addressed neural networks are established in terms of LMIs, which can be verified easily by MATLAB LMI Control toolbox. In addition, few numerical examples are given to show the effectiveness and less conservatism of the approaches proposed in this paper.
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Stochastic neural networks; Passivity; Leakage delay; Distributed delay; Linear matrix inequalities.