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 …

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 …

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 …

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 …

In general, multibody models are described with a set of redundant coordinates and
additional constraints. Their dynamics is thus expressed through differential algebraic …

This study investigates the discrete extended Kalman filter as applied to multibody systems
and focuses on accurate formulation of the state-transition model in the framework. The …

A novel two-stage approach is presented for improving the estimates of both the kinematic
state and the unknown external forces in rigid-link multibody systems with negligible joint …

Multibody simulations are already used in many industries to speed up the development of
new products. However, improvements in multibody formulations and the continuous …

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 …

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 …