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Robustness analysis of discrete predictor-based controllers for input-delay systems

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  • Antonio Gonzalez
  • Antonio Sala
  • Pedro Garcia
  • Pedro Albertos

Abstract

In this article, robustness to model uncertainties are analysed in the context of discrete predictor-based state-feedback controllers for discrete-time input-delay systems with time-varying delay, in an LMI framework. The goal is comparing robustness of predictor-based strategies with respect to other (sub)optimal state feedback ones. A numerical example illustrates that improvements in tolerance to modelling errors can be achieved by using the predictor framework.

Suggested Citation

  • Antonio Gonzalez & Antonio Sala & Pedro Garcia & Pedro Albertos, 2013. "Robustness analysis of discrete predictor-based controllers for input-delay systems," International Journal of Systems Science, Taylor & Francis Journals, vol. 44(2), pages 232-239.
    • Handle: RePEc:taf:tsysxx:v:44:y:2013:i:2:p:232-239
    DOI: 10.1080/00207721.2011.600469
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    Cited by:

    1. Shenquan Wang & Jian Feng & Yulian Jiang, 2016. "Input–output method to fault detection for discrete-time fuzzy networked systems with time-varying delay and multiple packet losses," International Journal of Systems Science, Taylor & Francis Journals, vol. 47(7), pages 1495-1513, May.
    2. J.L. Pitarch & A. Sala & J. Lauber & T.M. Guerra, 2016. "Control synthesis for polynomial discrete-time systems under input constraints via delayed-state Lyapunov functions," International Journal of Systems Science, Taylor & Francis Journals, vol. 47(5), pages 1176-1184, April.

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