Exponential Synchronization for Neutral-Type Neural Network with Stochastic Perturbation and Markovian Jumping Parameters

被引：0
|
作者：
Lv, Xue [1 ]
Yang, Xueqing [2 ]
Xi, Yaoqing [1 ]
Yu, Jinyong [1 ]
Zhou, Wuneng [3 ]
机构：
[1] Guangxi City Coll, Chongzuo 532100, Peoples R China
[2] Donghua Univ, Educ Technol Ctr, Shanghai 200051, Peoples R China
[3] Donghua Univ, Coll Informat Sci & Technol, Shanghai 200051, Peoples R China
来源：
MATHEMATICAL PROBLEMS IN ENGINEERING | 2019年 / 2019卷
基金：
中国国家自然科学基金;
关键词：
STABILITY;
D O I：
10.1155/2019/9425828
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The problem of exponential synchronization for neutral-type neural network with stochastic perturbation and Markovian switching parameters is considered in this article. Based on Lyapunov functional method and the theory of stochastic process, the exponential synchronism of the neural network is analyzed. By designing an adaptive state feedback controller, the exponential synchronization criterion of the neural network is obtained which can be represented as linear matrix inequality. Furthermore, the update rule for the adaptive controller is obtained. Finally, a simulation example is proposed to explain the availability of the results and method obtained in this article.
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页数：10
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