Exponential Stability of Delayed Reaction-Diffusion Neural Networks with Markovian Jumping Parameters Based on State Estimation

被引：0
作者：
Liu Yan [1 ]
Sun Duoqing
Ma Huiquan
机构：
[1] Hebei Normal Univ Sci & Technol, Inst Math & Syst Sci, Qinhuangdao 066004, Peoples R China
来源：
PROCEEDINGS OF THE 31ST CHINESE CONTROL CONFERENCE | 2012年
关键词：
Neural Networks; Stochastic Exponential Stability; Markovian Jumping Parameter; Reaction-Diffusion; GLOBAL ASYMPTOTIC STABILITY; NONLINEAR-SYSTEMS; DYNAMICS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper deals with the exponential stability problem for a class of delayed reaction-diffusion neural networks with Markovian jumping parameters. Based on the state estimation of jump parameters, a suitable stochastic Lyapunov-Krasovskii functional is employed to develop a sufficient condition for the exponential stability in terms of linear matrix inequalities (LMIs). A numerical example is provided to show the effectiveness of the proposed approach.
引用
收藏
页码：3267 / 3272
页数：6
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