Anti-synchronization control of unknown chaotic neural networks with delay and noise perturbation

摘要：

In this paper, anti-synchronization control of unknown chaotic neural networks -with delay and noise perturbation has been considered. By employing the Lyapunov-Krasovskii functional method to design a controller, a series of theory and corollaries are established that guarantee the exponential stability of a pair of master and slave unknown chaotic neural networks system with stochastic noise. In the end, simulation result is shown to verify the effectiveness of built theory and corollaries in this paper.

关键词： anti-synchronization unknown chaotic neural networks time delay noise perturbation

作者: Lezhi Wang Wuneng Zhou Li Liu

作者单位: College of Information Sciences and Technology Donghua University Shanghai 201620 China

会议类型: 国际会议

会议名称: 2011 Seventh International Conference on Natural Computation(第七届自然计算国际会议 ICNC 2011)

会议地点: 上海

会议语种:英文

页码: 335-339

在线出版日期: 2011-07-26（万方平台首次上网日期，不代表论文的发表时间）