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Robust adaptive global synchronization of complex dynamical networks by adjusting time-varying coupling strength

Author

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  • Li, Zhi
  • Jiao, Licheng
  • Lee, Ju-Jang

Abstract

A new robust adaptive synchronization approach for the global synchronization of complex dynamical networks is proposed. Both the characteristics of the uncoupled nodes of the network and the coupling matrix are unknown, but only a time-varying coupling strength is used in this paper. Based on the LaSalle–Yoshizawa theorem and by introducing an update law, a sufficient condition of the global synchronization is obtained. The update law is only dependent on the states of the complex dynamical network, which do not need any other information such as the characteristic of the uncoupled nodes of the network and the second largest eigenvalue of the coupling matrix. Compared with the existing results, our synchronization strategy is still useful when the existing synchronization methods become invalid. Moreover, it is very convenient to use. An example of the complex network is finally used to verify the proposed theoretical result.

Suggested Citation

  • Li, Zhi & Jiao, Licheng & Lee, Ju-Jang, 2008. "Robust adaptive global synchronization of complex dynamical networks by adjusting time-varying coupling strength," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(5), pages 1369-1380.
    • Handle: RePEc:eee:phsmap:v:387:y:2008:i:5:p:1369-1380
    DOI: 10.1016/j.physa.2007.10.063
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    Citations

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    Cited by:

    1. Hongjie Li & W. K. Wong & Yang Tang, 2012. "Global Synchronization Stability for Stochastic Complex Dynamical Networks with Probabilistic Interval Time-Varying Delays," Journal of Optimization Theory and Applications, Springer, vol. 152(2), pages 496-516, February.
    2. Wang, Jin-Liang & Wu, Huai-Ning, 2011. "Stability analysis of impulsive parabolic complex networks," Chaos, Solitons & Fractals, Elsevier, vol. 44(11), pages 1020-1034.
    3. Li, Hongjie & Zhu, Yinglian & jing, Liu & ying, Wang, 2018. "Consensus of second-order delayed nonlinear multi-agent systems via node-based distributed adaptive completely intermittent protocols," Applied Mathematics and Computation, Elsevier, vol. 326(C), pages 1-15.

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