A parameter estimation approach to state observation of nonlinear systems

Roméo Ortega 1 Alexey Bobtsov 2 Anton Pyrkin 2 Stanislav Aranovskiy 3
1 Division Systèmes - L2S
L2S - Laboratoire des signaux et systèmes : 1289
2 Saint Petersburg State University of Information Technologies Mechanics and Optics
3 ITMO University [Russia]
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.
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Conference papers
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https://hal-centralesupelec.archives-ouvertes.fr/hal-01262420
Contributor : Myriam Baverel <>
Submitted on : Tuesday, January 26, 2016 - 4:38:50 PM
Last modification on : Thursday, September 27, 2018 - 2:30:03 PM

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CNRS | L2S | SUP_LSS | SUP_SYSTEMES | CENTRALESUPELEC | TDS-MACS | UNIV-PARIS-SACLAY

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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. ⟨10.1109/cdc.2015.7403217 ⟩. ⟨hal-01262420⟩

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