%0 Journal Article
	%A Qingqing Wang and  Baocheng Chen and  Shouming Zhong
	%D 2014
	%J International Journal of Mathematical and Computational Sciences
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 86, 2014
	%T New Approaches on Exponential Stability Analysis for Neural Networks with Time-Varying Delays
	%U https://publications.waset.org/pdf/9997441
	%V 86
	%X In this paper, utilizing the Lyapunov functional method and combining linear matrix inequality (LMI) techniques and integral inequality approach (IIA) to study the exponential stability problem for neural networks with discrete and distributed time-varying delays.By constructing new Lyapunov-Krasovskii functional and dividing the discrete delay interval into multiple segments,some new delay-dependent exponential stability criteria are established in terms of LMIs and can be easily checked.In order to show the stability condition in this paper gives much less conservative results than those in the literature,numerical examples are considered.

	%P 298 - 305