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A new approach to feedback feed-forward iterative learning control with random packet dropouts

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  • Shi, Xuanxuan
  • Shen, Mouquan

Abstract

This paper is devoted to the feedback feed-forward iterative learning control (FFILC) with random packet dropouts. Resorting to a 2D Roesser system manner, the resultant FFILC falls in the robust framework. With the help of Lyapunov method and stochastic analysis technique, a new condition is developed to guarantee the desired mean-square stability with the prescribed H∞ performance. To co-design controller and learning parameters by means of linear matrix inequalities, an effective strategy is employed to overcome the coupling nonlinearities induced by these parameters and Lypunov variable. An injection modeling process is adopted to show the effectiveness of the proposed method.

Suggested Citation

  • Shi, Xuanxuan & Shen, Mouquan, 2019. "A new approach to feedback feed-forward iterative learning control with random packet dropouts," Applied Mathematics and Computation, Elsevier, vol. 348(C), pages 399-412.
    • Handle: RePEc:eee:apmaco:v:348:y:2019:i:c:p:399-412
    DOI: 10.1016/j.amc.2018.11.061
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    References listed on IDEAS

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    1. Jing Wang & Ke Zhang, 2014. "Nonfragile Control for Stochastic Systems with Markovian Jumping Parameters and Random Packet Losses," Abstract and Applied Analysis, Hindawi, vol. 2014, pages 1-8, February.
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    5. Tang, Ze & Park, Ju H. & Lee, Tae H., 2016. "Dynamic output-feedback-based H∞ design for networked control systems with multipath packet dropouts," Applied Mathematics and Computation, Elsevier, vol. 275(C), pages 121-133.
    6. Song, Xinmin & Duan, Zhenhua & Park, Ju H., 2016. "Linear optimal estimation for discrete-time systems with measurement-delay and packet dropping," Applied Mathematics and Computation, Elsevier, vol. 284(C), pages 115-124.
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