Algebraic condition of control for multiple time-delayed chaotic cellular neural networks
Yan Lu, Hanlin He, Ping Xiong · 2011
This paper proposes algebraic conditions of control for multiple time-delayed chaotic cellular neural networks which can also be applied to chaotic cellular neural networks without time delays. Without many complex restrictions or Lyapunov analytic process, the feedback control which is easy to realize is proposed by utilizing M-matrix theory, the system parameters and the feedback section coefficients. The feasibility and effectiveness of the control are demonstrated via numerical calculations with the help of Matlab. The simulation results also demonstrate the ability of the control to stabilize both the time-delayed chaotic cellular neural networks and some other chaotic cellular neural networks.