AN IMPROVED EXPONENTIAL STABILITY OF SWITCHED NEURAL NETWORKS WITH INTERVAL TIME-VARYING DELAY
Manlika Rajchakit, Grienggrai Rajchakit · International Journal of Pure and Apllied Mathematics · 2014
This paper studies the problem for exponential stability of switched 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 augmented Lyapunov-Krasovskii functional combined with Newton-Leibniz formula, a switching rule and switching design 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).