Abstract
This paper studies the pinning stabilization problem of time-delay cellular neural networks. A new pinning delayed-impulsive controller is proposed to stabilize the networks. Based on a Razumikhin-type stability result, a global exponential stability of time-delay cellular neural networks with delayed impulses is constructed. It is shown that the global exponential stabilization of delayed cellular neural networks can be effectively realized by controlling a small portion of units in the networks via delayed impulses. Numerical simulations are provided to illustrate the theoretical result.
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