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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Tu, J., He, H. (2010). Synchronization for a Class of Uncertain Chaotic Cellular Neural Networks with Time-Varying Delay. In: Zhang, L., Lu, BL., Kwok, J. (eds) Advances in Neural Networks - ISNN 2010. ISNN 2010. Lecture Notes in Computer Science, vol 6063. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13278-0_69
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DOI: https://doi.org/10.1007/978-3-642-13278-0_69
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