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Synchronization of Impulsive Fuzzy Cellular Neural Networks with Parameter Mismatches

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Advances in Neural Networks – ISNN 2007 (ISNN 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4492))

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Abstract

In this paper, we study the effect of parameter mismatches on the fuzzy neural networks with impulses. Since it is impossible to make two non-identical neural networks complete synchronized, we study the synchronization of two neural networks in terms of quasi-synchronization. Using Lyapunov method and linear matrix inequality method, we obtain a sufficient condition for a global synchronization error bound of the two neural networks.

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Author information

Authors and Affiliations

  1. Texas A&M University at Qatar, Doha, P.O. Box 5825, Qatar

    Tingwen Huang

  2. College of Computer Science, Chongqing University, Chongqing, 400030, China

    Chuandong Li

Authors
  1. Tingwen Huang
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  2. Chuandong Li
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Editor information

Derong Liu Shumin Fei Zengguang Hou Huaguang Zhang Changyin Sun

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© 2007 Springer Berlin Heidelberg

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Huang, T., Li, C. (2007). Synchronization of Impulsive Fuzzy Cellular Neural Networks with Parameter Mismatches. In: Liu, D., Fei, S., Hou, Z., Zhang, H., Sun, C. (eds) Advances in Neural Networks – ISNN 2007. ISNN 2007. Lecture Notes in Computer Science, vol 4492. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72393-6_4

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  • DOI: https://doi.org/10.1007/978-3-540-72393-6_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72392-9

  • Online ISBN: 978-3-540-72393-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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