%0 Journal Article
%T A switching rule for exponential stability of switched recurrent neural networks with interval time-varying delay
%A Manlika Rajchakit
%A Grienggrai Rajchakit and Piyapong Niamsup
%J Advances in Difference Equations
%D 2013
%I 
%R 10.1186/1687-1847-2013-44
%X This paper studies the problem for exponential stability of switched recurrent neural networks with interval time-varying delay. The time delay is a continuous function belonging to a given interval, but not necessary to be differentiable. By constructing a set of argumented Lyapunov-Krasovskii functionals combined with Newton-Leibniz formula, a switching rule for exponential stability for of switched recurrent neural networks with interval time-varying delay is designed via linear matrix inequalities, and new sufficient conditions for the exponential stability of switched recurrent neural networks with interval time-varying delay via linear matrix inequalities(LMIs). A numerical example is given to illustrate the effectiveness of the obtained result.
%U http://www.advancesindifferenceequations.com/content/2013/1/44/abstract