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Article Dans Une Revue IEEE Transactions on Automatic Control Année : 2017

State and parameter estimation: a nonlinear Luenberger observer approach

Résumé

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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Dates et versions

hal-01232747 , version 1 (24-11-2015)
hal-01232747 , version 2 (09-05-2016)

Identifiants

Citer

Chouaib Afri, Vincent Andrieu, Laurent Bako, Pascal Dufour. State and parameter estimation: a nonlinear Luenberger observer approach. IEEE Transactions on Automatic Control, 2017, 62 (2), pp.973-980. ⟨10.1109/TAC.2016.2566804⟩. ⟨hal-01232747v2⟩
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