International Journal of Theoretical Physics

, Volume 48, Issue 12, pp 3498-3509

First online:

Anti-synchronization of Time-delayed Chaotic Neural Networks Based on Adaptive Control

  • Choon Ki AhnAffiliated withDivision of Electronic and Control Engineering, Wonkwang University Email author 

Rent the article at a discount

Rent now

* Final gross prices may vary according to local VAT.

Get Access


This paper investigates the adaptive anti-synchronization problem for time-delayed chaotic neural networks with unknown parameters. Based on Lyapunov-Krasovskii stability theory and linear matrix inequality (LMI) approach, the adaptive anti-synchronization controller is designed and an analytic expression of the controller with its adaptive laws of unknown parameters is shown. The proposed controller can be obtained by solving the LMI problem. An illustrative example is given to demonstrate the effectiveness of the proposed method.


Anti-synchronization Delayed chaotic neural networks Adaptive control Linear matrix inequality (LMI) Lyapunov-Krasovskii stability theory