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Combined state and parameter estimation for a landslide model using Kalman filter

Abstract : The paper presents a combined state and parameter estimation for a landslide model using a Kalman filter. The model under investigation is based on underlying mechanics that depicts a landslide behavior. This system is described by an Ordinary Differential Equation (ODE) with displacement as a state and landslide geometrical and material properties as parameters. The Kalman filter approach is utilized on a simplified model equation for state and parameter estimation. Finally, the presented approach is validated by two illustrative examples, the first one a synthetic case study and the second one on Super-Sauze landslide data taken from the literature.
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https://hal.archives-ouvertes.fr/hal-03225544
Contributor : Mohit Mishra Connect in order to contact the contributor
Submitted on : Wednesday, May 12, 2021 - 4:30:10 PM
Last modification on : Friday, January 14, 2022 - 5:18:09 PM
Long-term archiving on: : Friday, August 13, 2021 - 6:44:49 PM

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Mohit Mishra, Gildas Besancon, Guillaume Chambon, Laurent Baillet. Combined state and parameter estimation for a landslide model using Kalman filter. SYSID 2021 - 19th IFAC Symposium on System Identification (SYSID 2021), Jul 2021, Padoue (virtual), Italy. ⟨10.1016/j.ifacol.2021.08.376⟩. ⟨hal-03225544⟩

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