Deep learning of multibody minimal coordinates for state and input estimation with Kalman filtering

A Angeli, W Desmet, F Naets - Multibody System Dynamics, 2021 - Springer
In general, multibody models are described with a set of redundant coordinates and
additional constraints. Their dynamics is thus expressed through differential algebraic …

A discrete-time extended Kalman filter approach tailored for multibody models: state-input estimation

R Adduci, M Vermaut, F Naets, J Croes, W Desmet - Sensors, 2021 - mdpi.com
Model-based force estimation is an emerging methodology in the mechatronic community
given the possibility to exploit physically inspired high-fidelity models in tandem with ready …

Real-time state observers based on multibody models and the extended Kalman filter

J Cuadrado, D Dopico, A Barreiro… - Journal of mechanical …, 2009 - Springer
This work is a preliminary study on the use of the extended Kalman filter (EKF) for the state
estimation of multibody systems. The observers based on the EKF are described by first …

Deep learning for model order reduction of multibody systems to minimal coordinates

A Angeli, W Desmet, F Naets - Computer Methods in Applied Mechanics …, 2021 - Elsevier
Among the proposed formulations for rigid multibody dynamics, the minimal coordinates
approach permits to parametrize the system motion with the minimal amount of degrees of …

State estimation using multibody models and non-linear Kalman filters

R Pastorino, D Richiedei, J Cuadrado… - International Journal of …, 2013 - Elsevier
The aim of this work is to provide a thorough research on the implementation of some non-
linear Kalman filters (KF) using multibody (MB) models and to compare their performances …

Online state and input force estimation for multibody models employing extended Kalman filtering

F Naets, R Pastorino, J Cuadrado… - Multibody System …, 2014 - Springer
This paper discusses the use of Subsystem Global Modal Parameterization (SS-GMP)
reduced multibody models in an augmented discrete extended Kalman filter (A-DEKF) to …

Inertial parameter identification for closed-loop mechanisms: Adaptation of linear regression for coordinate partitioning

L Pyrhönen, T Willems… - Journal of …, 2024 - asmedigitalcollection.asme.org
This study investigates the use of linear-regression-based identification in rigid multibody
system applications. A multibody system model, originally described with differential …

A differential-algebraic extended Kalman filter with exact constraint satisfaction

T Tamarozzi, P Jiránek, D De Gregoriis - Mechanical Systems and Signal …, 2024 - Elsevier
This work proposes an Augmented Manifold Differential-Algebraic Extended Kalman Filter
for state and input estimation for multibody systems described by a set of differential …

State and force observers based on multibody models and the indirect Kalman filter

E Sanjurjo, D Dopico, A Luaces, MÁ Naya - Mechanical Systems and …, 2018 - Elsevier
The aim of this work is to present two new methods to provide state observers by combining
multibody simulations with indirect extended Kalman filters. One of the methods presented …

A machine learning approach for minimal coordinate multibody simulation

A Angeli, F Naets, W Desmet - … Dynamics 2019: Proceedings of the 9th …, 2020 - Springer
Over the years, a wide range of generalized coordinates have been proposed to describe
the motion of rigid and flexible multibody systems. Depending on the type of formulation, a …