Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4631398 | Applied Mathematics and Computation | 2012 | 13 Pages |
Abstract
In this paper, the problem of stochastic stability criterion of Markovian jumping neural networks with mode-dependent time-varying delays and partially known transition rates is considered. Some new delay-dependent stability criteria are derived by choosing a new class of Lyapunov functional. The obtained criteria are less conservative because free-weighting matrices method and a convex optimization approach are considered. Finally, a numerical example is given to illustrate the effectiveness of the proposed method.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Junkang Tian, Yongming Li, Jinzhou Zhao, Shouming Zhong,