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

被引：1

作者：

Mishra, Mohit ^{[1
]}

Besancon, Gildas ^{[1
]}

Chambon, Guillaume ^{[2
]}

Baillet, Laurent ^{[3
]}

机构：

[1] Univ Grenoble Alpes, Grenoble INP, GIPSA Lab, CNRS,Inst Engn, F-38000 Grenoble, France

[2] Univ Grenoble Alpes, UR ETGR, INRAE, Grenoble, France

[3] Univ Grenoble Alpes, ISTerre, CNRS, Grenoble, France

来源：

IFAC PAPERSONLINE | 2021年 / 54卷 / 07期

关键词：

State estimation; parameter estimation; Kalman filter; landslide model; Super-Sauze landslide; RAINFALL;

D O I：

10.1016/j.ifaco1.2021.08.376

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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. Copyright (C) 2021 The Authors.

引用

页码：304 / 309

页数：6

共 50 条

[1] State and parameter estimation using extended Kitanidis Kalman filter
Varshney, Devyani
Bhushan, Mani
Patwardhan, Sachin C.
[J]. JOURNAL OF PROCESS CONTROL, 2019, 76 : 98 - 111
[2] Online State and Parameter Estimation of Ultracapacitor Using Marginalized Kalman Filter
Madhumitha, S.
Sudheesh, P.
Anita, J. P.
[J]. PROCEEDINGS OF THE 2019 INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND CONTROL SYSTEMS (ICCS), 2019, : 167 - 174
[3] Parameter estimation of an SMA actuator model using an extended Kalman filter
Soltani, M.
Bozorg, M.
Zakerzadeh, M. R.
[J]. MECHATRONICS, 2018, 50 : 148 - 159
[4] State estimation of a boiler model using the unscented Kalman filter
Lo, K. L.
Rathamarit, Y.
[J]. IET GENERATION TRANSMISSION & DISTRIBUTION, 2008, 2 (06) : 917 - 931
[5] Experiences in multiyear combined state-parameter estimation with an ecosystem model of the North Atlantic and Arctic Oceans using the Ensemble Kalman Filter
Simon, Ehouarn
Samuelsen, Annette
Bertino, Laurent
Mouysset, Sandrine
[J]. JOURNAL OF MARINE SYSTEMS, 2015, 152 : 1 - 17
[6] Elastic Modulus Estimation Using a Scaled State Parameter in the Extended Kalman Filter
Koch, M. C.
Murakami, A.
Fujisawa, K.
[J]. GEOTECHNICS FOR NATURAL DISASTER MITIGATION AND MANAGEMENT, 2020, : 43 - 51
[7] Dynamic State Estimation and Parameter Calibration of a DFIG Using the Ensemble Kalman Filter
Fan, Rui
Huang, Zhenyu
Wang, Shaobu
Diao, Ruisheng
Meng, Da
[J]. 2015 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, 2015,
[8] State and parameter estimation of hydrologic models using the constrained ensemble Kalman filter
Wang, Dingbao
Chen, Yuguo
Cai, Ximing
[J]. WATER RESOURCES RESEARCH, 2009, 45
[9] Combined model state and parameter estimation with an ensemble Kalman filter in a North Sea station 1-D numerical model
Ponsar, Stephanie
Luyten, Patrick
Ozer, Jose
[J]. OCEAN DYNAMICS, 2011, 61 (11) : 1869 - 1886
[10] Combined model state and parameter estimation with an ensemble Kalman filter in a North Sea station 1-D numerical model
Stephanie Ponsar
Patrick Luyten
Jose Ozer
[J]. Ocean Dynamics, 2011, 61 : 1869 - 1886

← 1 2 3 4 5 →