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

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.

关键词： Neutral-Type Neural Network Adaptive Synchronization Stochastic Perturbation Markovian Switching Linear Matrix Inequality

作者: YANG Xueqing ZHOU Wuneng YANG Jun DAI Anding

作者单位: School of Information Sciences and Technology,Donghua University,Shanghai 200051,P.R.China

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 4963-4969

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）