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Stability Criterion of Discrete-Time Recurrent Neural Networks with Periodic Delays

  • Conference paper
Neural Information Processing (ICONIP 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7064))

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Abstract

This paper deals with the problem of stability criterion of discrete-time recurrent neural networks with periodic delays. It is written as a discrete-time multi-switched liner system (DMSLS), applying the parameter and time dependent Lyapunov functions we obtain several new sufficient conditions and sufficient conditions for asymptotically stability of these systems.

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Yin, X., Wu, W., Tan, Q. (2011). Stability Criterion of Discrete-Time Recurrent Neural Networks with Periodic Delays. In: Lu, BL., Zhang, L., Kwok, J. (eds) Neural Information Processing. ICONIP 2011. Lecture Notes in Computer Science, vol 7064. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24965-5_33

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  • DOI: https://doi.org/10.1007/978-3-642-24965-5_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24964-8

  • Online ISBN: 978-3-642-24965-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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