A SYNCHRONIZATION APPROACH OF DELAY CHAOTIC NEURAL NETWORKS

摘要：

In this paper, global synchronization is discussed for chaotic neural networks time-varying delay.An effective synchronization law in matrix inequality form has been derived for time-varying delayed chaotic neural networks based on Lyapunov method and LMI technique.The advantage of the proposed approach can be performed efficiently via numerical algorithms such as the interior-point algorithms for solving LMIs.Moreover, one can get two less conservative controller gain matrixes simultaneous by solving a LMI.Numerical simulations are carried out to demonstrate the effectiveness of the established synchronization laws.

关键词： Chaotic system Delay Synchronization

作者: ZONG-MIN QIAO JIA-XING CHENG JIE SONG

作者单位: Key Laboratory of intelligent Computing and Signal Processing, Ministry of Education, Anhui Universi Key Laboratory of intelligent Computing and Signal Processing, Ministry of Education, Anhui Universi

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 334-339

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）