State and parameter estimation: a nonlinear Luenberger observer approach

Abstract : The design of a nonlinear Luenberger observer for a parametrized linear SISO (single-input single-output) system is studied. From an observability assumption of the system, the existence of such an observer is concluded. In a second step, a novel algorithm for the identification of such systems is suggested and is implemented on a third order system. Compared to the adaptive observer available in the litterature, it has the advantage to be of low dimension and to admit a strict Lyapunov function. This is a long version of a paper which is published in IEEE TAC 2017.
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IEEE Transactions on Automatic Control, Institute of Electrical and Electronics Engineers, 2017, 62 (2), pp.973-980. 〈10.1109/TAC.2016.2566804〉
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Contributeur : Vincent Andrieu <>
Soumis le : lundi 9 mai 2016 - 14:48:22
Dernière modification le : vendredi 9 novembre 2018 - 14:32:04
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Chouaib Afri, Vincent Andrieu, Laurent Bako, Pascal Dufour. State and parameter estimation: a nonlinear Luenberger observer approach. IEEE Transactions on Automatic Control, Institute of Electrical and Electronics Engineers, 2017, 62 (2), pp.973-980. 〈10.1109/TAC.2016.2566804〉. 〈hal-01232747v2〉

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