Editorial of Special Issue Combining Sensors and Multibody Models for Applications in Vehicles, Machines, Robots and Humans
| UDC.coleccion | Investigación | es_ES |
| UDC.departamento | Enxeñaría Naval e Industrial | es_ES |
| UDC.grupoInv | Laboratorio de Enxeñaría Mecánica (LIM) | es_ES |
| UDC.issue | 19 | es_ES |
| UDC.journalTitle | Sensors | es_ES |
| UDC.volume | 21 | es_ES |
| dc.contributor.author | Cuadrado, Javier | |
| dc.contributor.author | Naya, Miguel A. | |
| dc.date.accessioned | 2021-12-01T15:56:03Z | |
| dc.date.available | 2021-12-01T15:56:03Z | |
| dc.date.issued | 2021-09 | |
| dc.description.abstract | [Abstract] 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 automotive, aeronautics, aerospatial, railway, machinery, robotics and human biomechanics sectors | es_ES |
| dc.identifier.citation | Cuadrado, J.; Naya, M.Á. Editorial of Special Issue “Combining Sensors and Multibody Models for Applications in Vehicles, Machines, Robots and Humans”. Sensors 2021, 21, 6345. https://doi.org/10.3390/s21196345 | |
| dc.identifier.doi | 10.3390/s21196345 | |
| dc.identifier.issn | 1424-8220 | |
| dc.identifier.uri | http://hdl.handle.net/2183/29050 | |
| dc.language.iso | eng | es_ES |
| dc.publisher | MDPI | es_ES |
| dc.relation.uri | https://doi.org/10.3390/s21196345 | es_ES |
| dc.rights | Atribución 4.0 Internacional | es_ES |
| dc.rights.accessRights | open access | es_ES |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
| dc.subject | Sensores - Informática | es_ES |
| dc.subject | Robótica - Simulación por ordenador | es_ES |
| dc.title | Editorial of Special Issue Combining Sensors and Multibody Models for Applications in Vehicles, Machines, Robots and Humans | es_ES |
| dc.type | journal article | es_ES |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | 2e638887-48a4-49dd-9a45-6060a48d7aab | |
| relation.isAuthorOfPublication | a09ae53f-86a3-4593-8b40-a29e2cea2ec4 | |
| relation.isAuthorOfPublication.latestForDiscovery | 2e638887-48a4-49dd-9a45-6060a48d7aab |
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