Abstract
This paper focuses on designing an appropriate sampled-data controller to deal with the problem of master–slave synchronization for chaotic neural networks with discrete and distributed time varying delays in the presence of a constant input delay. The striking feature of this article is that we utilize the decomposition approach of delay interval when constructing a new Lyapunov functional. Besides, combining with the input delay approach and the linear matrix inequalities (LMIs) method, the desired sampled-data controller gain can be obtained by using the Matlab software to solve a series of LMIs. Finally, a numerical example is provided to verify the effectiveness of the given results.
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Nie, RX., Sun, ZY., Wang, JA., Lu, Y. (2014). Sampled-Data Synchronization for Chaotic Neural Networks with Mixed Delays. In: Wen, Z., Li, T. (eds) Practical Applications of Intelligent Systems. Advances in Intelligent Systems and Computing, vol 279. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54927-4_68
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DOI: https://doi.org/10.1007/978-3-642-54927-4_68
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