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The SMC Approach to Global Synchronization of the Cellular Neural Networks with Multi-delays and Distributed Delays

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Book cover Advances in Neural Networks – ISNN 2012 (ISNN 2012)

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Abstract

This paper is further to investigate the global synchronization of the cellular neural networks with both multi-delays and distributed delays. Based on the Lyapunov stability theorem, by using the LMI technique and designing a sliding mode control (SMC) approach, a less conservative yet sufficient condition is derived to guarantee the global stability of the error system with both delay-independent and delay-dependent situations. The feasible SMC law is designed such that the trajectory of the error system is globally driven onto the specified sliding surface. The global synchronization is obtained at last.

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© 2012 Springer-Verlag Berlin Heidelberg

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Cai, G., Yao, Q., Wu, X. (2012). The SMC Approach to Global Synchronization of the Cellular Neural Networks with Multi-delays and Distributed Delays. In: Wang, J., Yen, G.G., Polycarpou, M.M. (eds) Advances in Neural Networks – ISNN 2012. ISNN 2012. Lecture Notes in Computer Science, vol 7367. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31346-2_27

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  • DOI: https://doi.org/10.1007/978-3-642-31346-2_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31345-5

  • Online ISBN: 978-3-642-31346-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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