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Adaptive observer for simultaneous state and parameter estimations for an output depending normal form

Lei Yu 1 Gang Zheng 2, 3 Driss Boutat 4
2 NON-A - Non-Asymptotic estimation for online systems
Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189
3 DEFROST - Deformable Robots Simulation Team
Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189
Abstract : In this paper, we investigate the problem of simultaneous state and parameter estimation for a class of nonlinear systems which can be transformed into an output depending normal form. A new and simple adaptive observer for such class of systems is presented. Sufficient condition for the existence of the proposed observer is derived. A concrete application is given in order to highlight the effectiveness of the proposed result.
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Submitted on : Wednesday, March 8, 2017 - 11:13:57 PM
Last modification on : Tuesday, October 12, 2021 - 5:20:33 PM
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Lei Yu, Gang Zheng, Driss Boutat. Adaptive observer for simultaneous state and parameter estimations for an output depending normal form. Asian Journal of Control, Asian Control Association (ACA) and Chinese Automatic Control Society (CACS) 2017, 19 (1), pp.356-361. ⟨10.1002/asjc.1355⟩. ⟨hal-01410734⟩

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