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

Mohit Mishra; Gildas Besan?on; Guillaume Chambon; Laurent Baillet

首页> 外文期刊>IFAC PapersOnLine >Combined state and parameter estimation for a landslide model using Kalman filter

【24h】

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

机译：使用Kalman滤波器的滑坡模型组合状态和参数估计

获取原文

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

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.

机译：本文介绍了使用卡尔曼滤波器的滑坡模型的组合状态和参数估计。正在调查的模型基于潜在的力学，描绘了滑坡行为。该系统由具有位移作为状态的常微分方程（ode）描述为稳定性的几何和材料属性作为参数。 Kalman滤波器方法用于状态和参数估计的简化模型方程。最后，通过两个说明性示例验证了所提出的方法，这是一种综合性案例研究和第二个在文献中取出的超级筛子滑坡数据。

著录项

来源
《IFAC PapersOnLine》 |2021年第7期|共6页
作者
Mohit Mishra; Gildas Besan?on; Guillaume Chambon; Laurent Baillet;
展开▼
作者单位

展开▼
收录信息
原文格式 PDF
正文语种
中图分类
关键词
State estimationparameter estimationKalman filterlandslide modelSuper-Sauze landslide;

机译：国家估计参加参数估计kalman滤波器LADESUPER-Sauze Landslide;

相似文献

外文文献
中文文献
专利

1. Utilizing the ensemble kalman filter and ensemble kalman smoother for combined state and parameter estimation of a three-dimensional towed underwater cable model [J] . Grindheim Jan Vidar, Revhaug Inge, Pedersen Egil Journal of offshore mechanics and arctic engineering . 2017,第6期

机译：利用集合卡尔曼滤波器和集合卡尔曼平滑器进行三维拖曳水下电缆模型的组合状态和参数估计
2. Combined model state and parameter estimation with an ensemble Kalman filter in a North Sea station 1-D numerical model [J] . S. Ponsar, P. Luyten, J. Ozer Ocean Dynamics . 2011,第11期

机译：北海站一维数值模型中的模型状态和参数估计与集成卡尔曼滤波器的组合
3. Experiences in multiyear combined state-parameter estimation with an ecosystem model of the North Atlantic and Arctic Oceans using the Ensemble Kalman Filter [J] . Simon, Ehouarn, Samuelsen, Annette, Bertino, Laurent, Journal of marine systems: journal of the European Association of Marine Sciences and Techniques . 2015,第Null期

机译：使用Ensemble Kalman滤波的北大西洋和北冰洋生态系统模型多年联合状态参数估计的经验
4. Sigma-Point Kalman Filters for Combined State and Parameter Estimation [C] . H. Janocha, J. Fox GMA-Kongress . 2005

机译：Sigma-Point Kalman滤波器用于组合状态和参数估计
5. Parameter Estimation of a Cardiac Model Using the Local Ensemble Transform Kalman Filter [D] . Holt, Nathan. 2019

机译：使用局部集成变换卡尔曼滤波器的心脏模型参数估计
6. Unscented Kalman filter with parameter identifiability analysis for the estimation of multiple parameters in kinetic models [O] . Syed Murtuza Baker, C Hart Poskar, Björn H Junker 2011

机译：具有参数可识别性分析的Unscented卡尔曼滤波器用于估计动力学模型中的多个参数
7. Experiences in multiyear combined state-parameter estimation with an ecosystem model of the North Atlantic and Arctic Oceans using the Ensemble Kalman Filter [O] . Simon Ehouarn, Samuelsen Annette, Bertino Laurent, 2015

机译：使用Ensemble Kalman滤波进行北大西洋和北冰洋生态系统模型的多年组合状态参数估计的经验

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

摘要

著录项

相似文献

相关主题

期刊订阅