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 …

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 …

Optical motion capture is an essential tool for the study and analysis of human movement.
Currently, most manufacturers of motion-capture systems provide software applications for …

In multibody system dynamics, the equations of motion are often coupled with systems of
other physical nature, such as hydraulics. To infer the real dynamical state of such a coupled …

Real-world products and physics-based simulations are becoming interconnected. In
particular, real-time capable dynamic simulation has made it possible for simulation models …

Automatization of hydraulic machinery requires accurate information of the current dynamic
state of the machinery but also information of the underlying dynamic model characterized …

Strong electromagnetic fields such as those generated by power stations and transmission
lines cause disturbances that affect the on-board sensors of an autonomous unmanned …

This design proposes a self-grounding semi-circular gap dual-band flexible antenna in the
context of the rapid development of wireless body area networks. The antenna combines the …

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 state estimation-based approach is proposed to determine both the forces exchanged
between the soil and the bucket of a hydraulic excavator during digging tasks and the load …