Outer Synchronization for Multi-derivative Coupled Complex Networks with and without External Disturbance

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Neural Information Processing (ICONIP 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14447))

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Abstract

This paper investigates the outer synchronization of multi-derivative coupled complex networks (MDCCNs), and further studies the outer \(H_{\infty }\) synchronization between two MDCCNs with external disturbance. For the outer synchronization, a synchronization criterion is proposed by using adaptive control strategy, which is proved based on Lyapunov functional and the Barbalat’s lemma. For the outer \(H_\infty \) synchronization, an adaptive state controller and parameter updating scheme are devised for MDCCNs with external disturbance. Finally, the validity of the presented criteria is demonstrated by providing two simulation examples.

This work was partially supported by the National Natural Science Foundation of China under Grants 62276062.

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Correspondence to Qingshan Liu .

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Wu, HY., Liu, Q. (2024). Outer Synchronization for Multi-derivative Coupled Complex Networks with and without External Disturbance. In: Luo, B., Cheng, L., Wu, ZG., Li, H., Li, C. (eds) Neural Information Processing. ICONIP 2023. Lecture Notes in Computer Science, vol 14447. Springer, Singapore. https://doi.org/10.1007/978-981-99-8079-6_26

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  • DOI: https://doi.org/10.1007/978-981-99-8079-6_26

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-8078-9

  • Online ISBN: 978-981-99-8079-6

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