Exploring the trade-off between processing resources and settling time in image-based control through LQR tuning

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Samenvatting

Image-Based control systems extract information by a camera and an image processing algorithm. The challenge of such controllers is that the sensing latency deteriorates the control performance. Multi-core technology can be used to implement the sensing algorithm in a pipelined fashion. More processing resources potentially lead to better settling time. This results in a trade-off between resources and per-formance. We present a method to analyse this trade-off.

Originele taal-2Engels
Titel32nd Annual ACM Symposium on Applied Computing, SAC 2017
Plaats van productieNew York
UitgeverijAssociation for Computing Machinery, Inc
Pagina's1456-1459
Aantal pagina's4
ISBN van elektronische versie978-1-4503-4486-9
DOI's
StatusGepubliceerd - 3 apr 2017
Evenement32nd ACM Symposium on Applied Computing (SAC 2017) - Cadi Ayyad University (UCA) of Marrakesh, Morocco, Marrakesh, Marokko
Duur: 4 apr 20176 apr 2017
Congresnummer: 32
https://www.sigapp.org/sac/sac2017/

Congres

Congres32nd ACM Symposium on Applied Computing (SAC 2017)
Verkorte titelSAC 2017
LandMarokko
StadMarrakesh
Periode4/04/176/04/17
Internet adres

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Citeer dit

Medina, R., Stuijk, S., Goswami, D., & Basten, T. (2017). Exploring the trade-off between processing resources and settling time in image-based control through LQR tuning. In 32nd Annual ACM Symposium on Applied Computing, SAC 2017 (blz. 1456-1459). New York: Association for Computing Machinery, Inc. https://doi.org/10.1145/3019612.3019862