LMI optimisation approach to new stability results for uncertain stochastic neural networks with discrete interval and distributed time-varying delays
by N. Mala; A.R. Sudamani Ramaswamy
International Journal of Computing Science and Mathematics (IJCSM), Vol. 5, No. 4, 2014

Abstract: This paper is concerned with stability analysis problem for uncertain stochastic neural networks with discrete interval and distributed time-varying delays. The parameter uncertainties are assumed to be norm bounded and the delay is assumed to be time-varying and belong to a given interval, which means that the lower and upper bounds of interval time-varying delays are available. Based on the new Lyapunov-Krasovskii functional and stochastic stability theory, delay-interval dependent stability criteria are obtained in terms of linear matrix inequalities. Finally, two numerical examples and comparisons are given to show the effectiveness of the proposed LMI conditions.

Online publication date: Sat, 31-Jan-2015

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