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Synchronization of Complex Networks Subject to Impulses with Average Characteristics

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Complex Networks & Their Applications X (COMPLEX NETWORKS 2021)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1072))

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Abstract

In this study, synchronization of complex networks subject to impulses with average characteristics is investigated. Specifically, the ideas of average impulse interval and average impulse delay are applied to analyze the effect of delayed impulses on synchronization of complex networks. Further, the new concept of average impulse exponential gain is proposed to globally describe the multiple impulses whose magnitude is allowed to be time-varying. Interestingly, it is shown that the delay in impulses can possess synchronizing impact on the synchronization of complex networks with such multiple delayed impulses. Finally, an numerical example is presented to illustrate the validness of the derived results.

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Authors and Affiliations

  1. Department of Systems Science, School of Mathematics, Southeast University, Nanjing, 210096, China

    Bangxin Jiang & Jianquan Lu

Authors
  1. Bangxin Jiang
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  2. Jianquan Lu
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Correspondence to Jianquan Lu .

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Editors and Affiliations

  1. Escuela Técnica Superior de Ingeniería Agronómica, Alimentaria y de Biosistemas, Universidad Politécnica de Madrid, Madrid, Madrid, Spain

    Rosa Maria Benito

  2. IUT Lumière, University of Lyon, Bron Cedex, France

    Chantal Cherifi

  3. LIB, UFR Sciences et Techniques, University of Burgundy, Dijon, France

    Hocine Cherifi

  4. Grupo Interdisciplinar de Sistemas Complejos, Universidad Carlos III de Madrid, Leganés, Madrid, Spain

    Esteban Moro

  5. Thomas J. Watson College of Engineering and Applied Science, Binghamton University, Binghamton, USA

    Luis M. Rocha

  6. Department of Chemical Engineering, Universitat Rovira i Virgili, Tarragona, Tarragona, Spain

    Marta Sales-Pardo

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Jiang, B., Lu, J. (2022). Synchronization of Complex Networks Subject to Impulses with Average Characteristics. In: Benito, R.M., Cherifi, C., Cherifi, H., Moro, E., Rocha, L.M., Sales-Pardo, M. (eds) Complex Networks & Their Applications X. COMPLEX NETWORKS 2021. Studies in Computational Intelligence, vol 1072. Springer, Cham. https://doi.org/10.1007/978-3-030-93409-5_66

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  • DOI: https://doi.org/10.1007/978-3-030-93409-5_66

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-93408-8

  • Online ISBN: 978-3-030-93409-5

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