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Anti-synchronization of Neural Networks with Mixed Delays

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Book cover Neural Information Processing (ICONIP 2018)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11302))

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Abstract

This paper focuses on the anti-synchronization of neural networks (NNs) with mixed delays. Under state feedback control, by establishing suitable Lyapunov functional and applying inequality techniques, corresponding algebraic conditions are given to ascertain anti-synchronization of drive-response NNs with time-varying delays and unbounded distributed delays. The availability of the proposed result is verified by an example.

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Acknowledgments

This work was supported by the Funds of National Natural Science of China under Grant no. 61773097, the Fundamental Research Funds for the Central Universities under Grant no. N160402004, and the Liaoning BaiQianWan Talents Program (201517).

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Authors and Affiliations

  1. College of Information Science and Engineering, Northeastern University, Shenyang, 110189, Liaoning, People’s Republic of China

    Dan Liu & Dan Ye

Authors
  1. Dan Liu
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  2. Dan Ye
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Corresponding author

Correspondence to Dan Ye .

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Editors and Affiliations

  1. The Chinese Academy of Sciences, Beijing, China

    Long Cheng

  2. City University of Hong Kong, Kowloon, Hong Kong

    Andrew Chi Sing Leung

  3. Kobe University, Kobe, Japan

    Seiichi Ozawa

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Liu, D., Ye, D. (2018). Anti-synchronization of Neural Networks with Mixed Delays. In: Cheng, L., Leung, A., Ozawa, S. (eds) Neural Information Processing. ICONIP 2018. Lecture Notes in Computer Science(), vol 11302. Springer, Cham. https://doi.org/10.1007/978-3-030-04179-3_32

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  • DOI: https://doi.org/10.1007/978-3-030-04179-3_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-04178-6

  • Online ISBN: 978-3-030-04179-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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