A Mode and Control Adaptive Almost Surely Asymptotically Synchronization for Stochastic Time Delay Neural Network with Markovian Switching
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.
Neural Networks Adaptive Almost Surely Asymptotically Synchronization Time-Varying Delays Stochastic Noise Markovian Switching
ZHOU Wuneng GAO Yan SUN Yuqing DING Xiangwu TONG Dongbing JI Chuan
College of Information Sciences and Technology, Donghua University, Shanghai 201620, P. R. China School of Computer Sciences and Mathematics, Donghua University, Shanghai 201620, P. R. China
国际会议
The 31st Chinese Control Conference(第三十一届中国控制会议)
合肥
英文
2877-2882
2012-07-01(万方平台首次上网日期,不代表论文的发表时间)