Hanlin He

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This letter deals with the guaranteed cost stabilization of time–varying delay cellular neural networks (DCNNs). Based on the Razumikhin theorem and via applying the zoned discussion and maximax synthesis method in DCNNs, the quadratic Riccati matrix inequality criterion for the guaranteed cost stabilization controller is designed to stabilize the given(More)
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Synchronization of cellular neural networks with time-varying delay is discussed in this letter. Based on Razumikhin theorem, a guaranteed cost synchronous controller is given. Unlike Lyapunov-Krasovskii analysis process, there is no constraint on the change rate of time delay. The saturated terms emerging in the Razumikhin analysis are amplified by zoned(More)
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(More)
This paper deals with the synchronization of time-varying delay cellular neural networks. Based on the Lyapunov stability analysis and the zoned discussion and maximax synthesis (ZDMS) method, the quadratic matrix inequality (QMI) criterion for the guaranteed cost synchronous controller is designed to synchronize the given chaotic systems. For the(More)
This paper deals with the problem of anti-windup design for a class of state saturation systems subject to time-varying delayed cellular neural networks and input saturation. By introducing the saturation degree function and applying the convex hull theory to handle the saturated terms, we firstly put forward a stabilization controller for the time-varying(More)