A Synchronization Approach of Delay Chaotic Neural Networks
Qiao Zong-min, Jiaxing Cheng, Jie Song · 2007
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.