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Distributed robust adaptive control for a class of dynamical complex networks against imperfect communications

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  • Xiao-Zheng Jin
  • Guang-Hong Yang

Abstract

In this article, a robust tracking control problem of a class of dynamical complex networks is presented through a distributed adaptive approach. Uncertain network topology with unknown coupling strength, delayed and perturbed communications and external disturbances are considered, while the bounds of channel noises and coupling delays and disturbances are assumed to be unknown. Adaptation laws are proposed to estimate the network coupling strength and the upper and lower bounds of communication state errors and disturbances on-line. Based on the information from adaptive schemes, a class of distributed robust adaptive controllers is constructed to automatically compensate for the imperfect network and disturbance effects. Then, according to the Lyapunov stability theory, it is shown that the achievement of tracking for complex networks is effective on imperfect communications and disturbances. The effectiveness of the proposed design is illustrated via a decoupled longitudinal model of an F-18 aircraft.

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  • Xiao-Zheng Jin & Guang-Hong Yang, 2011. "Distributed robust adaptive control for a class of dynamical complex networks against imperfect communications," International Journal of Systems Science, Taylor & Francis Journals, vol. 42(3), pages 457-468.
    • Handle: RePEc:taf:tsysxx:v:42:y:2011:i:3:p:457-468
    DOI: 10.1080/00207720903572463
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    Cited by:

    1. Jichao Li & Yuejin Tan & Kewei Yang & Xiaoke Zhang & Bingfeng Ge, 2017. "Structural robustness of combat networks of weapon system-of-systems based on the operation loop," International Journal of Systems Science, Taylor & Francis Journals, vol. 48(3), pages 659-674, February.

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