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Robust ripple-free output regulation and tracking under structured or unstructured parameter uncertainties

  • Part II Robust Control
  • Conference paper
  • First Online:
Robustness in identification and control

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 245))

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Abstract

The problem of the robust continuous-time asymptotic tracking and disturbance rejection for a multivariable sampled-data system is studied, for the case when the available description of the continuous-time plant has a known dependence on some “physical” parameters and possibly only some of the scalar outputs must track corresponding reference signals. The necessary and sufficient conditions for the existence of a hybrid control system for which exponential stability with a prescribed rate of convergence and a continuous-time convergence to zero of the tracking error are guaranteed at least in a neighbourhood of the nominal parameters, and, possibly, the convergence is dead-beat at the nominal ones, are reported, together with the necessity of a wholly continuous-time internal model of the exogenous signals.

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Authors and Affiliations

  1. Dipartimento di Informatica, Sistemi e Produzione, Università di Roma “Tor Vergata” via di Tor Vergata, 00133, Roma, Italy

    Osvaldo Maria Grasselli, Laura Menini & Paolo Valigi

Authors
  1. Osvaldo Maria Grasselli
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  2. Laura Menini
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  3. Paolo Valigi
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Editor information

A. Garulli (Assistant Professor)A. Tesi (Assistant Professor)

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© 1999 Springer-Verlag London Limited

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Grasselli, O.M., Menini, L., Valigi, P. (1999). Robust ripple-free output regulation and tracking under structured or unstructured parameter uncertainties. In: Garulli, A., Tesi, A. (eds) Robustness in identification and control. Lecture Notes in Control and Information Sciences, vol 245. Springer, London. https://doi.org/10.1007/BFb0109885

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  • DOI: https://doi.org/10.1007/BFb0109885

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-85233-179-5

  • Online ISBN: 978-1-84628-538-7

  • eBook Packages: Springer Book Archive

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