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Continuous adaptive observer for state affine sampled-data systems

Authors

  • Cheikh A.B. Hann,

    Corresponding author
    1. Univ Caen, GREYC-ENSICAEN, UMR CNRS 6072-6 Boulevard du Maréchal Juin, 14050 Caen Cedex, France
    • Correspondence to: Cheikh A.B. Hann, Univ Caen, GREYC-ENSICAEN, UMR CNRS 6072-6 Boulevard du Maréchal Juin, 14050 Caen Cedex, France.

      E-mail: cheikh.hann@unicaen.fr

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  • Tarek Ahmed-Ali

    1. Univ Caen, GREYC-ENSICAEN, UMR CNRS 6072-6 Boulevard du Maréchal Juin, 14050 Caen Cedex, France
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SUMMARY

In this paper, a hybrid adaptive observer is designed for a class of nonlinear sampled-data systems with constant unknown parameters. The proposed observer uses a predictor of the output between the sampling times. This predictor is re-initialized at each sampling time. This observer is very simple to implement and converges exponentially under some sufficient conditions. An explicit relation between the bound of the maximum allowable sampling time (τMASP) and the parameters of the observer is also given. Copyright © 2012 John Wiley & Sons, Ltd.

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