A parameter estimation approach to state observation of nonlinear systems - CentraleSupélec Access content directly
Conference Papers Year : 2015

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.
Fichier principal
Vignette du fichier
parameter_estimation_ortega.pdf (583.47 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

hal-01262420 , version 1 (26-06-2020)

Identifiers

Cite

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⟩
115 View
86 Download

Altmetric

Share

Gmail Mastodon Facebook X LinkedIn More