%0 Journal Article
	%A Lijiang Xiang and  Shouming Zhong and  Yucai Ding
	%D 2013
	%J International Journal of Mathematical and Computational Sciences
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 75, 2013
	%T Globally Exponential Stability and Dissipativity Analysis of Static Neural Networks with Time Delay
	%U https://publications.waset.org/pdf/9996906
	%V 75
	%X The problems of globally exponential stability and dissipativity analysis for static neural networks (NNs) with time delay is investigated in this paper. Some delay-dependent stability criteria are established for static NNs with time delay using the delay partitioning technique. In terms of this criteria, the delay-dependent sufficient condition is given to guarantee the dissipativity of static NNs with time delay. All the given results in this paper are not only dependent upon the time delay but also upon the number of delay partitions. Two numerical examples are used to show the effectiveness of the proposed methods.

	%P 555 - 564