Global Synchronization of Delayed Chaotic Neural Networks based on LMI Approach

In this paper, global synchronization approach is discussed for chaotic neural networks with time-varying delay. Under the feedback control of nonlinear state coupling, an effective control 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. Numerical simulations are carried out to demonstrate the effectiveness of the established synchronization law.