Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4628264 | Applied Mathematics and Computation | 2014 | 13 Pages |
Abstract
In this paper, an improved method is derived for the delay-dependent stability problem of neural networks with discrete and distributed time-varying delays. An improved Lyapunov functional is constructed by introducing the newly delay-partitioning method and considering the sufficient information of neuron activation functions. By using the relationship between each subinterval and time-varying delay sufficiently, a new delay-dependent stability criterion has been obtained to reduce the conservatism. Two numerical examples are finally given to show the merits of the derived conditions.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Junkang Tian, Wenjun Xiong, Fang Xu,