Global exponential synchronization of a class of chaotic neural networks based on LMI approach
The exponential chaos synchronization between two time-delayed chaotic neural networks was discussed. Based on the Lyapunov stability method and the Halanay inequality lemma, a delay independent sufficient condition for exponential synchronization was derived. The new results is an improvement to the earlier work. Numerical simulation was performed to demonstrate the validity of the proposed results.
Zong-min Qiao Jia-xing Cheng
Key Laboratory of Intelligent Computing and Signal Processing, Anhui University, Hefei 30039, China; Key Laboratory of Intelligent Computing and Signal Processing, Anhui University, Hefei 30039, China
国际会议
The 5th International Conference on Nonlinear Mechanics(第五届国际非线性力学会议)
上海
英文
1317-1322
2007-06-11(万方平台首次上网日期,不代表论文的发表时间)