Dynamic weights feedback scheduling of resource-constrained real-time control systems

Feng Li; Hongxing Wei; Tianmiao Wang; Jingmeng Liu

doi:10.1109/WCICA.2008.4593359

Dynamic weights feedback scheduling of resource-constrained real-time control systems

Feng Li^*
, Hongxing Wei
, Tianmiao Wang
, Jingmeng Liu

^*Corresponding author for this work

Beihang University

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

4 Scopus citations

Abstract

In resource-constrained real-time control systems, optimization of computing resources allocation, via feedback of the plant states, is very important. Based on the optimal feedback scheduling, this article utilizes a simplified mapping function to map the plant states to the dynamic weights of the computing resources allocation. Simulation results illustrate that the overhead of dynamic feedback scheduling is less than that of the optimal states feedback scheduling, and the performance is better than that of the optimal feedback scheduling.

Original language	English
Title of host publication	Proceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08
Pages	2747-2751
Number of pages	5
DOIs	https://doi.org/10.1109/WCICA.2008.4593359
State	Published - 2008
Event	7th World Congress on Intelligent Control and Automation, WCICA'08 - Chongqing, China Duration: 25 Jun 2008 → 27 Jun 2008

Publication series

Name	Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

Conference

Conference	7th World Congress on Intelligent Control and Automation, WCICA'08
Country/Territory	China
City	Chongqing
Period	25/06/08 → 27/06/08

Keywords

Dynamic weights
Feedback scheduling
Resource-constrained real-time control systems

Access to Document

10.1109/WCICA.2008.4593359

Cite this

Li, F., Wei, H., Wang, T., & Liu, J. (2008). Dynamic weights feedback scheduling of resource-constrained real-time control systems. In Proceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08 (pp. 2747-2751). Article 4593359 (Proceedings of the World Congress on Intelligent Control and Automation (WCICA)). https://doi.org/10.1109/WCICA.2008.4593359

@inproceedings{1355d91e2ec143d2adab1371904db2e7,

title = "Dynamic weights feedback scheduling of resource-constrained real-time control systems",

abstract = "In resource-constrained real-time control systems, optimization of computing resources allocation, via feedback of the plant states, is very important. Based on the optimal feedback scheduling, this article utilizes a simplified mapping function to map the plant states to the dynamic weights of the computing resources allocation. Simulation results illustrate that the overhead of dynamic feedback scheduling is less than that of the optimal states feedback scheduling, and the performance is better than that of the optimal feedback scheduling.",

keywords = "Dynamic weights, Feedback scheduling, Resource-constrained real-time control systems",

author = "Feng Li and Hongxing Wei and Tianmiao Wang and Jingmeng Liu",

year = "2008",

doi = "10.1109/WCICA.2008.4593359",

language = "英语",

isbn = "9781424421145",

series = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",

pages = "2747--2751",

booktitle = "Proceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08",

note = "7th World Congress on Intelligent Control and Automation, WCICA'08 ; Conference date: 25-06-2008 Through 27-06-2008",

}

Li, F, Wei, H , Wang, T & Liu, J 2008, Dynamic weights feedback scheduling of resource-constrained real-time control systems. in Proceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08., 4593359, Proceedings of the World Congress on Intelligent Control and Automation (WCICA), pp. 2747-2751, 7th World Congress on Intelligent Control and Automation, WCICA'08, Chongqing, China, 25/06/08. https://doi.org/10.1109/WCICA.2008.4593359

Dynamic weights feedback scheduling of resource-constrained real-time control systems. / Li, Feng; Wei, Hongxing ; Wang, Tianmiao et al.
Proceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08. 2008. p. 2747-2751 4593359 (Proceedings of the World Congress on Intelligent Control and Automation (WCICA)).

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

TY - GEN

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AU - Li, Feng

AU - Wei, Hongxing

AU - Wang, Tianmiao

AU - Liu, Jingmeng

PY - 2008

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N2 - In resource-constrained real-time control systems, optimization of computing resources allocation, via feedback of the plant states, is very important. Based on the optimal feedback scheduling, this article utilizes a simplified mapping function to map the plant states to the dynamic weights of the computing resources allocation. Simulation results illustrate that the overhead of dynamic feedback scheduling is less than that of the optimal states feedback scheduling, and the performance is better than that of the optimal feedback scheduling.

AB - In resource-constrained real-time control systems, optimization of computing resources allocation, via feedback of the plant states, is very important. Based on the optimal feedback scheduling, this article utilizes a simplified mapping function to map the plant states to the dynamic weights of the computing resources allocation. Simulation results illustrate that the overhead of dynamic feedback scheduling is less than that of the optimal states feedback scheduling, and the performance is better than that of the optimal feedback scheduling.

KW - Dynamic weights

KW - Feedback scheduling

KW - Resource-constrained real-time control systems

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M3 - 会议稿件

AN - SCOPUS:52149120097

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T3 - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

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BT - Proceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08

T2 - 7th World Congress on Intelligent Control and Automation, WCICA'08

Y2 - 25 June 2008 through 27 June 2008

ER -

Dynamic weights feedback scheduling of resource-constrained real-time control systems

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Keywords

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