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A Novel Condition for Robust Stability of Delayed Neural Networks

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Neural Information Processing (ICONIP 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9491))

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Abstract

This paper presents a novel sufficient condition for the existence, uniqueness and global robust asymptotic stability of the equilibrium point for the class of delayed neural networks by using the Homomorphic mapping and the Lyapunov stability theorems. An important feature of the obtained result is its low computational complexity as the reported result can be verified by checking some well-known properties of some certain classes of matrices, which simplify the verification of the derived result.

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Author information

Authors and Affiliations

  1. Department of Electrical and Electronics Engineering, Uludag University, Bursa, Turkey

    Neyir Ozcan

  2. Department of Computer Engineering, Istanbul University, Avcilar, Istanbul, Turkey

    Eylem Yucel & Sabri Arik

Authors
  1. Neyir Ozcan
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  2. Eylem Yucel
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  3. Sabri Arik
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Corresponding author

Correspondence to Eylem Yucel .

Editor information

Editors and Affiliations

  1. University of Istanbul, Istanbul, Turkey

    Sabri Arik

  2. University at Qatar, Doha, Qatar

    Tingwen Huang

  3. Tunku Abdul Rahman University College, Kuala Lumpur, Malaysia

    Weng Kin Lai

  4. University of Science Technology, Wuhan, China

    Qingshan Liu

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© 2015 Springer International Publishing Switzerland

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Ozcan, N., Yucel, E., Arik, S. (2015). A Novel Condition for Robust Stability of Delayed Neural Networks. In: Arik, S., Huang, T., Lai, W., Liu, Q. (eds) Neural Information Processing. ICONIP 2015. Lecture Notes in Computer Science(), vol 9491. Springer, Cham. https://doi.org/10.1007/978-3-319-26555-1_31

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  • DOI: https://doi.org/10.1007/978-3-319-26555-1_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26554-4

  • Online ISBN: 978-3-319-26555-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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