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Lag Synchronization of Complex-Valued Neural Networks with Time Delays

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Neural Information Processing (ICONIP 2018)

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

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Abstract

In this paper, the global exponential lag synchronization has been investigated for complex-valued neural networks with time delays. By using Lyapunov functionals and matrix inequality techniques, designing feedback control and adaptive feedback control, some new sufficient conditions for checking the global exponentially lag synchronization of the addressed complex-valued neural networks are established. Finally, numerical examples are given to demonstrate the effectiveness of theoretical results.

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Author information

Authors and Affiliations

  1. College of Mathematics and System Sciences, Xinjiang University, Urumqi, 830046, People’s Republic of China

    Jiarong Li, Haijun Jiang, Cheng Hu & Juan Yu

Authors
  1. Jiarong Li
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  2. Haijun Jiang
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  3. Cheng Hu
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  4. Juan Yu
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Corresponding author

Correspondence to Haijun Jiang .

Editor information

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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Li, J., Jiang, H., Hu, C., Yu, J. (2018). Lag Synchronization of Complex-Valued Neural Networks with Time 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_34

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  • DOI: https://doi.org/10.1007/978-3-030-04179-3_34

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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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