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Global Asymptotic Synchronization of Coupled Interconnected Recurrent Neural Networks via Pinning Control

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7367))

Abstract

Global asymptotic synchronization problem of a coupled interconnected recurrent neural networks with linearly delayed coupled has been investigated. By using the state feedback and delayed state feedback pinning control method, two different pinning synchronization criteria have been established. One is based on the matrix eigenvalue of the coupled matrix, the other is based on the matrix inequality of the known networks information. Some remarks on the synchronization criteria are used to show the characteristics of the proposed results.

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© 2012 Springer-Verlag Berlin Heidelberg

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Wang, Z., Zhou, D., Ma, D., Lun, S. (2012). Global Asymptotic Synchronization of Coupled Interconnected Recurrent Neural Networks via Pinning Control. 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_34

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  • DOI: https://doi.org/10.1007/978-3-642-31346-2_34

  • 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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