Almost Sure Adaptive Synchronization for Neutral-Type Neural Networks with Markovian Switching

被引：0
|
作者：
Yang Xueqing [1 ]
Zhou Wuneng [1 ]
Yang Jun [1 ]
Dai Anding [1 ]
机构：
[1] Donghua Univ, Sch Informat Sci & Technol, Shanghai 200051, Peoples R China
来源：
2014 33RD CHINESE CONTROL CONFERENCE (CCC) | 2014年
关键词：
Neutral-Type Neural Network; Adaptive Synchronization; Stochastic Perturbation; Markovian Switching; Linear Matrix Inequality; DIFFERENTIAL-DELAY EQUATIONS; EXPONENTIAL SYNCHRONIZATION; LAG SYNCHRONIZATION; DISTRIBUTED DELAYS; ROBUST STABILITY; TIME-DELAYS; PERTURBATION; DISCRETE;
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 almost sure (a. s.) adaptive synchronization for neutral-type neural networks with Markovian switching is researched in this paper. A new criterion of a. s. asymptotic stability for a general neutral-type stochastic differential equation which extends the existed results is given firstly. Next, based upon this stability criterion, by making use of Lyapunov functional method and designing a adaptive controller, a condition of a. s. asymptotic adaptive synchronization for neutral-type neural networks with stochastic perturbation and Markovian switching is obtained. The synchronization condition is expressed as linear matrix inequality which can be easily solved by Matlab. A numerical example to illustrate the effectiveness of the method and result is introduced finally.
引用
收藏
页码：4963 / 4969
页数：7
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