Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Thijs Devos"'
Publikováno v:
Sensors, Vol 21, Iss 22, p 7492 (2021)
To comply with the increasing complexity of new mechatronic systems and stricter safety regulations, advanced estimation algorithms are currently undergoing a transformation towards higher model complexity. However, more complex models often face iss
Externí odkaz:
https://doaj.org/article/f66093cb71594879bd7c7d47601eab82
Publikováno v:
International Journal for Numerical Methods in Engineering. 121:3083-3107
This paper presents a novel system‐level model order reduction scheme for flexible multibody simulation, namely the system‐level affine projection (SLAP). Contrary to existing system‐level model order reduction approaches for multibody systems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45c1d401c132ffad1395ac75aa7dd6bc
https://doi.org/10.1002/nme.6348
https://doi.org/10.1002/nme.6348
Publikováno v:
Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems.
This paper presents a novel automotive state estimation approach aiming to provide reliable results for multi-objective estimation applications. Because single-objective estimators typically feature simple, dedicated models, they often lack accuracy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccd2a9b18ed25b8d7543056668e4f3cf
https://doi.org/10.5220/0011041800003191
https://doi.org/10.5220/0011041800003191
Publikováno v:
Sensors
Volume 21
Issue 22
Sensors, Vol 21, Iss 7492, p 7492 (2021)
Sensors (Basel, Switzerland)
Volume 21
Issue 22
Sensors, Vol 21, Iss 7492, p 7492 (2021)
Sensors (Basel, Switzerland)
To comply with the increasing complexity of new mechatronic systems and stricter safety regulations, advanced estimation algorithms are currently undergoing a transformation towards higher model complexity. However, more complex models often face iss
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f06fd8fd9f4521d2256ec397da17691d