A Mode and Control Adaptive Almost Surely Asymptotically Synchronization for Stochastic Time Delay Neural Network with Markovian Switching

被引：0
|
作者：
Zhou Wuneng [1 ]
Gao Yan [1 ]
Sun Yuqing [1 ]
Ding Xiangwu [2 ]
Tong Dongbing [1 ]
Ji Chuan [1 ]
机构：
[1] Donghua Univ, Coll Informat Sci & Technol, Shanghai 201620, Peoples R China
[2] Donghua Univ, Sch Comp Sci & Math, Shanghai 201620, Peoples R China
来源：
PROCEEDINGS OF THE 31ST CHINESE CONTROL CONFERENCE | 2012年
基金：
中国国家自然科学基金;
关键词：
Neural Networks; Adaptive Almost Surely Asymptotically Synchronization; Time-Varying Delays; Stochastic Noise; Markovian Switching; ATTRACTORS; STABILITY; SYSTEMS;
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：
The problem of adaptive almost surely asymptotically synchronization for stochastic time delay neural network with Markovian Switching is considered in this paper. By using M-matrix method, a sufficient condition under which the response system adaptive almost surely asymptotically synchronizes with the drive system is obtained. To illustrate the effectiveness of the result proposed in this paper, a numerical example is given.
引用
收藏
页码：2877 / 2882
页数：6
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