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 …

Rubber bushing elements are largely used in different industrial sectors thanks to their
ability to withstand large reversible deformations and attenuate vibrations. Nonetheless, they …

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 …

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 …

To comply with the increasing complexity of new mechatronic systems and stricter safety
regulations, advanced estimation algorithms are currently undergoing a transformation …

In this paper, the handling of the dependent coordinates in the linearization of constrained
multibody systems is clarified. To this end, a brief but comprehensive overview of …

Accurate numerical models are pivotal throughout the design and whole operation life cycle
of a mechanical system. Ideally, such models should be efficient in terms of both their …

Multibody dynamics comprises methodologies for the design and analysis of mechanical
systems, with Kalman filters being the principal state estimation methods. The Kalman filters …

In the automotive field, the estimation of key variables related to vehicle dynamics, such as
the sideslip angle coupled with characteristic tire-road parameters, is fundamental for …

The combination of physical sensors and computational models to provide additional
information about system states, inputs and/or parameters, in what is known as virtual …