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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 <>
Submitted on : Wednesday, May 12, 2021 - 4:30:10 PM
Last modification on : Monday, July 19, 2021 - 11:22:02 AM

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SYSID21_0176_FI.pdf
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  • HAL Id : hal-03225544, version 1

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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, Jul 2021, Padoue (virtual), Italy. ⟨hal-03225544⟩

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