Abstract

Synchronization problem of a class of chaotic cellular neural networks with time-varying delay and parameter uncertainties is probed in Given the Lipschitz conditions, based on Lyapunov-Krasovskii functional method and the analysis of the bounded uncertainties, a kind of convenient linear controller is derived It can be designed by only solving a linear matrix inequality and can lead the error system to be globally asymptotical stable The simulation results indicate the super properties of the controller.

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