Global exponential stability of delayed fuzzy cellular neural networks with Markovian jumping parameters

被引：0
作者：
Wei Han
Yan Liu
Linshan Wang
机构：
[1] North University of China,Department of Mathematics
[2] Hebei Normal University of Science and Technology,Department of Mathematics and Physics
[3] Ocean University of China,Department of Mathematics
来源：
Neural Computing and Applications | 2012年 / 21卷
关键词：
Fuzzy cellular neural networks; Global exponential stability; Stochastic; Markovian jumping parameters;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper deals with the global exponential stability in the mean square of fuzzy cellular neural networks with time-varying delays and Markovian jumping parameters. By constructing suitable Lyapunov functionals, we obtain several sufficient conditions which can be expressed in terms of linear matrix inequalities (LMIs). The proposed LMI results are computationally efficient as it can be solved numerically by using Matlab LMI toolbox. An example is given to show the effectiveness of the results.
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页码：67 / 72
页数：5
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