A parameter estimation approach to state observation of nonlinear systems

Abstract : A novel approach to the partial state estimation problem is proposed. Instrumental to this approach is the reformulation of the state estimation problem as a problem of estimation of a constant parameter related to the systems initial conditions. The admissible class of the systems is defined via two assumptions related to solvability of a partial differential equation and our ability to estimate the unknown parameters. The proposed approach is shown to be applicable to position estimation of a class of electromechanical systems.
Type de document :
Communication dans un congrès
54th IEEE Conference on Decision and Control (CDC), Dec 2015, Osaka, Japan. 2015, Proceedings of the 54th IEEE Conference on Decision and Control. 〈10.1109/cdc.2015.7403217 〉
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https://hal-centralesupelec.archives-ouvertes.fr/hal-01262420
Contributeur : Myriam Baverel <>
Soumis le : mardi 26 janvier 2016 - 16:38:50
Dernière modification le : jeudi 26 avril 2018 - 15:52:30

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Roméo Ortega, Alexey Bobtsov, Anton Pyrkin, Stanislav Aranovskiy. A parameter estimation approach to state observation of nonlinear systems. 54th IEEE Conference on Decision and Control (CDC), Dec 2015, Osaka, Japan. 2015, Proceedings of the 54th IEEE Conference on Decision and Control. 〈10.1109/cdc.2015.7403217 〉. 〈hal-01262420〉

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