Synchronization control on a class of delayed chaotic neural networks

Synchronization control of delayed chaotic neural networks with uncertain parameters is considered in this paper. To fulfill synchronization control and parameter identification of two delayed chaotic neural networks with same structure but uncertain parameters, a novel controller is invented based on lyapunov stability theory, and used by adding compensator to it for parameters' uncertainty compensation when system parameter uncertainty satisfy a certain boundary conditions. The mentioned controller has robustness and could be easily carried out. Simulation results are given to verify the effectiveness of the proposed method.