Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Miguel Á. Naya"'
Publikováno v:
Sensors, Vol 21, Iss 19, p 6626 (2021)
Currently, the interest in creating autonomous driving vehicles and progressively more sophisticated active safety systems is growing enormously, being a prevailing importance factor for the end user when choosing between either one or another commer
Externí odkaz:
https://doaj.org/article/769571809fd34be0a36026e040d27a3c
Autor:
Javier Cuadrado, Miguel Á. Naya
Publikováno v:
Sensors, Vol 21, Iss 19, p 6345 (2021)
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 sensing, is becoming more and more popular in many sectors, such as the automoti
Externí odkaz:
https://doaj.org/article/038b8a43d1f84e74adeb5bfd2a4a0f64
Publikováno v:
Sensors, Vol 21, Iss 15, p 5241 (2021)
The aim of this work is to explore the suitability of adaptive methods for state estimators based on multibody dynamics, which present severe non-linearities. The performance of a Kalman filter relies on the knowledge of the noise covariance matrices
Externí odkaz:
https://doaj.org/article/eb813af0e988429e956e0f91b229cbab