The aim of this work is to present a novel accurate estimator for vehicle dynamics. Following
the multibody dynamics approach, a vehicle can be modeled with a high level of detail …

This work is part of a project aimed to develop automotive real-time observers based on
detailed nonlinear multibody models and the extended Kalman filter (EKF). In previous …

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 …

This article considers a novel method for estimating parameters in a vehicle-handling
dynamic model using a recursive filter. The well-known extended Kalman filter-which is …

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

The Kalman filter algorithm estimates variables of linear systems combining information from
real sensors and a mathematical model of the system. It may be applied to observe …

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 …

This work proposes an augmented extended Kalman filter based state-input estimator for
mechanical systems defined by implicit equations of motion which is then applied to …

The article demonstrates the implementation of a model-based vehicle estimator, which can
be used for combined estimation of vehicle states and parameters. The estimator is realised …

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 …