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Predictive control for networked switch flight system with packet dropout

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  • Xiong, Shixun
  • Chen, Mou
  • Wu, Qianxian

Abstract

In this study, a predictive control method is investigated for networked flight control (NFCS) system with data packet loss and unmeasurable states. By introducing state observer, the unmeasurable states of a target system and a plant system can be estimated. Then, based on networked predictive control strategy, the networked flight control system with data packet dropout is transformed into a switched system. The lost packets are compensated by a predictive scheme, which allows the plant system to track the target in NFCS. Furthermore, the robust H∞ tracking controller is proposed to track the target system via an average dwell time method. Experimental results demonstrate the effectiveness of the designed control strategies.

Suggested Citation

  • Xiong, Shixun & Chen, Mou & Wu, Qianxian, 2019. "Predictive control for networked switch flight system with packet dropout," Applied Mathematics and Computation, Elsevier, vol. 354(C), pages 444-459.
    • Handle: RePEc:eee:apmaco:v:354:y:2019:i:c:p:444-459
    DOI: 10.1016/j.amc.2019.01.005
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    References listed on IDEAS

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    1. Li, Zhi-Min & Chang, Xiao-Heng & Yu, Lu, 2016. "Robust quantized H∞ filtering for discrete-time uncertain systems with packet dropouts," Applied Mathematics and Computation, Elsevier, vol. 275(C), pages 361-371.
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    Cited by:

    1. Chen, Weilu & Hu, Jun & Wu, Zhihui & Yi, Xiaojian & Liu, Hongjian, 2024. "Protocol-based fault detection for state-saturated systems with sensor nonlinearities and redundant channels," Applied Mathematics and Computation, Elsevier, vol. 475(C).
    2. Xiong, Shixun & Wu, Qingxian & Wang, Yuhui & Chen, Mou, 2021. "An l2−l∞ distributed containment coordination tracking of heterogeneous multi-unmanned systems with switching directed topology," Applied Mathematics and Computation, Elsevier, vol. 404(C).
    3. Zhai, Ganghui & Tian, Engang & Luo, Yuqiang & Liang, Dong, 2024. "Data-driven optimal output regulation for unknown linear discrete-time systems based on parameterization approach," Applied Mathematics and Computation, Elsevier, vol. 461(C).

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