Combining Sensors and Multibody Models for Applications in Vehicles, Machines, Robots and Humans
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 increasingly popular in many sectors, such as the automotive, aeronautics, aerospatial, railway, machinery, r...
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Autres auteurs: | , |
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Format: | Électronique Chapitre de livre |
Langue: | anglais |
Publié: |
Basel, Switzerland
MDPI - Multidisciplinary Digital Publishing Institute
2021
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Sujets: | |
Accès en ligne: | DOAB: download the publication DOAB: description of the publication |
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Résumé: | 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 increasingly popular in many sectors, such as the automotive, aeronautics, aerospatial, railway, machinery, robotics and human biomechanics sectors. While, in many cases, control-oriented models, which are generally simple, are the best choice, multibody models, which can be much more detailed, may be better suited to some applications, such as during the design stage of a new product. |
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Description matérielle: | 1 electronic resource (256 p.) |
ISBN: | books978-3-0365-2358-3 9783036523576 9783036523583 |
Accès: | Open Access |