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

R. Medina; S. Stuijk; D. Goswami; T. Basten

doi:10.1145/3019612.3019862

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

R. Medina, S. Stuijk, D. Goswami, T. Basten

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

4 Citations (Scopus)

4 Downloads (Pure)

Abstract

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.

Original language	English
Title of host publication	32nd Annual ACM Symposium on Applied Computing, SAC 2017
Place of Publication	New York
Publisher	Association for Computing Machinery, Inc
Pages	1456-1459
Number of pages	4
ISBN (Electronic)	978-1-4503-4486-9
DOIs	https://doi.org/10.1145/3019612.3019862
Publication status	Published - 3 Apr 2017
Event	32nd ACM Symposium on Applied Computing (SAC 2017) - Cadi Ayyad University (UCA) of Marrakesh, Morocco, Marrakesh, Morocco Duration: 4 Apr 2017 → 6 Apr 2017 Conference number: 32 https://www.sigapp.org/sac/sac2017/

Conference

Conference	32nd ACM Symposium on Applied Computing (SAC 2017)
Abbreviated title	SAC 2017
Country/Territory	Morocco
City	Marrakesh
Period	4/04/17 → 6/04/17
Internet address	https://www.sigapp.org/sac/sac2017/

Keywords

Image-based control
LQR tuning
Particle warm Optimization
Pipelined sensing control
Trade-off analysis

Access to Document

10.1145/3019612.3019862

Cite this

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

abstract = "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.",

keywords = "Image-based control, LQR tuning, Particle warm Optimization, Pipelined sensing control, Trade-off analysis",

author = "R. Medina and S. Stuijk and D. Goswami and T. Basten",

year = "2017",

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doi = "10.1145/3019612.3019862",

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booktitle = "32nd Annual ACM Symposium on Applied Computing, SAC 2017",

publisher = "Association for Computing Machinery, Inc",

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}

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. Association for Computing Machinery, Inc, New York, pp. 1456-1459, 32nd ACM Symposium on Applied Computing (SAC 2017), Marrakesh, Morocco, 4/04/17. https://doi.org/10.1145/3019612.3019862

Exploring the trade-off between processing resources and settling time in image-based control through LQR tuning. / Medina, R.; Stuijk, S.; Goswami, D. et al.
32nd Annual ACM Symposium on Applied Computing, SAC 2017. New York: Association for Computing Machinery, Inc, 2017. p. 1456-1459.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Goswami, D.

AU - Basten, T.

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PY - 2017/4/3

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N2 - 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.

AB - 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.

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KW - LQR tuning

KW - Particle warm Optimization

KW - Pipelined sensing control

KW - Trade-off analysis

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DO - 10.1145/3019612.3019862

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BT - 32nd Annual ACM Symposium on Applied Computing, SAC 2017

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CY - New York

T2 - 32nd ACM Symposium on Applied Computing (SAC 2017)

Y2 - 4 April 2017 through 6 April 2017

ER -

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

Abstract

Conference

Keywords

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