Abstract
In this paper, the problem on synchronization of two nonidentical chaotic neural networks with time-varying delays is investigated. By constructing a proper sliding surface, and employing a combination of the free-weighting matrix method, inequality technique and Lyapunov theory, a sliding mode controller is designed to achieve the asymptotical synchronization of two nonidentical chaotic neural networks with time-varying delays. The provided condition is expressed in terms of linear matrix inequalities (LMIs), and is dependent on the time delay. A simulation example is given to show the effectiveness.
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Song, Q. (2011). Synchronization of Nonidentical Chaotic Neural Networks with Time-Varying Delays. In: Liu, D., Zhang, H., Polycarpou, M., Alippi, C., He, H. (eds) Advances in Neural Networks – ISNN 2011. ISNN 2011. Lecture Notes in Computer Science, vol 6675. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21105-8_26
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DOI: https://doi.org/10.1007/978-3-642-21105-8_26
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