Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Emilio Sanjurjo"'
Publikováno v:
IEEE Access, Vol 9, Pp 97384-97400 (2021)
The performance of powertrain components in electric vehicles is tightly intertwined with their thermal behavior. In practical applications, their temperature must be monitored and kept below certain thresholds to avoid performance drops and failure.
Externí odkaz:
https://doaj.org/article/b3b799b8a7dd439b962379949f5ba565
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
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
Autor:
José Luis Torres-Moreno, José Luis Blanco-Claraco, Antonio Giménez-Fernández, Emilio Sanjurjo, Miguel Ángel Naya
Publikováno v:
Sensors, Vol 16, Iss 3, p 333 (2016)
This article addresses the problems of online estimations of kinematic and dynamic states of a mechanism from a sequence of noisy measurements. In particular, we focus on a planar four-bar linkage equipped with inertial measurement units (IMUs). Firs
Externí odkaz:
https://doaj.org/article/848cc9a146d941b5a0247c916c6c42db
Publikováno v:
Multibody System Dynamics.
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 nonlinear systems by means of a linearization of the system model. Multibod
Publikováno v:
Multibody System Dynamics. 54:373-398
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 multibody system at any instant of time, information fusing techniq
Publikováno v:
RUC. Repositorio da Universidade da Coruña
instname
IEEE Access, Vol 9, Pp 97384-97400 (2021)
instname
IEEE Access, Vol 9, Pp 97384-97400 (2021)
[Abstract] The performance of powertrain components in electric vehicles is tightly intertwined with their thermal behavior. In practical applications, their temperature must be monitored and kept below certain thresholds to avoid performance drops a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::abd1b77120a5533b8a4175ec9cc962a6
https://hdl.handle.net/2183/28613
https://hdl.handle.net/2183/28613
Publikováno v:
Vehicle System Dynamics. 57:1705-1719
Measuring the roll angle of single-track vehicles has always been a challenging task; however, accurate and reliable measurements of this magnitude are paramount for controlling the stabili...
Publikováno v:
RUC. Repositorio da Universidade da Coruña
instname
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 6626, p 6626 (2021)
Sensors
Volume 21
Issue 19
instname
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 6626, p 6626 (2021)
Sensors
Volume 21
Issue 19
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://explore.openaire.eu/search/publication?articleId=doi_dedup___::a20ff55318ab16478cc3d9f668e9fd98
http://hdl.handle.net/2183/29404
http://hdl.handle.net/2183/29404
Publikováno v:
RUC. Repositorio da Universidade da Coruña
instname
Sensors, Vol 21, Iss 5241, p 5241 (2021)
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 15
instname
Sensors, Vol 21, Iss 5241, p 5241 (2021)
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 15
[Abstract] 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 covarian
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ff6986224b69c62563167845e87f282
http://hdl.handle.net/2183/28685
http://hdl.handle.net/2183/28685