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Synchronization Analysis for Complex Networks with Interval Coupling Delay

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Advances in Neural Networks - ISNN 2017 (ISNN 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10261))

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Abstract

This paper concerns synchronization problems for complex networks with interval delays. By using an inequality that is introduced from Newton-Leibniz formula and combining the Finsler’s Lemma with homogenous matrix, convergent LMI relaxations for synchronization analysis are proposed with matrix-valued coefficients. Finally, a numerical example is provided to illustrate the effectiveness of the proposed methods.

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Acknowledgment

This work was supported by the National Natural Science Foundation of China (51305066, 61603076).

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Correspondence to Dawei Gong .

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Gong, D., Dai, X., Song, J., Huang, B. (2017). Synchronization Analysis for Complex Networks with Interval Coupling Delay. In: Cong, F., Leung, A., Wei, Q. (eds) Advances in Neural Networks - ISNN 2017. ISNN 2017. Lecture Notes in Computer Science(), vol 10261. Springer, Cham. https://doi.org/10.1007/978-3-319-59072-1_39

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  • DOI: https://doi.org/10.1007/978-3-319-59072-1_39

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59071-4

  • Online ISBN: 978-3-319-59072-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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