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Optimal On-line Sampling Period Assignment for Real-Time Control Tasks Based on Plant State Information

Henriksson, Dan LU and Cervin, Anton LU orcid (2005) 44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05 p.4469-4474
Abstract
The paper presents a feedback scheduling strategy for multiple control tasks that uses feedback from the plant states to distribute the computing resources optimally among the tasks. Linear-quadratic controllers are analyzed, and expressions relating the expected cost to the sampling period and the plant state are derived and used for on-line sample-rate adjustments. In the case of minimum-variance control of multiple integrator processes, an exact expression for the optimal sampling periods is obtained. For the general case, an on-line optimization procedure is developed. The approach is exemplified on a set of controllers for first-order systems. The issues of computational delay and the choice of the feedback scheduler period are also... (More)
The paper presents a feedback scheduling strategy for multiple control tasks that uses feedback from the plant states to distribute the computing resources optimally among the tasks. Linear-quadratic controllers are analyzed, and expressions relating the expected cost to the sampling period and the plant state are derived and used for on-line sample-rate adjustments. In the case of minimum-variance control of multiple integrator processes, an exact expression for the optimal sampling periods is obtained. For the general case, an on-line optimization procedure is developed. The approach is exemplified on a set of controllers for first-order systems. The issues of computational delay and the choice of the feedback scheduler period are also discussed. (Less)
Please use this url to cite or link to this publication:
author
and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Plant state information, Linear-quadratic controllers, Multiple control tasks
host publication
Proceedings of the 44th IEEE Conference on Decision and Control and the 2005 European Control Conference
pages
4469 - 4474
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05
conference location
Seville, Spain
conference dates
2005-12-12 - 2005-12-15
external identifiers
  • wos:000240653704052
  • scopus:33847209916
ISBN
0-7803-9568-9
DOI
10.1109/CDC.2005.1582866
language
English
LU publication?
yes
id
5c8e662e-0879-4998-8496-3d3afa6222f2 (old id 535764)
date added to LUP
2016-04-04 12:15:40
date last changed
2022-03-16 00:35:18
@inproceedings{5c8e662e-0879-4998-8496-3d3afa6222f2,
  abstract     = {{The paper presents a feedback scheduling strategy for multiple control tasks that uses feedback from the plant states to distribute the computing resources optimally among the tasks. Linear-quadratic controllers are analyzed, and expressions relating the expected cost to the sampling period and the plant state are derived and used for on-line sample-rate adjustments. In the case of minimum-variance control of multiple integrator processes, an exact expression for the optimal sampling periods is obtained. For the general case, an on-line optimization procedure is developed. The approach is exemplified on a set of controllers for first-order systems. The issues of computational delay and the choice of the feedback scheduler period are also discussed.}},
  author       = {{Henriksson, Dan and Cervin, Anton}},
  booktitle    = {{Proceedings of the 44th IEEE Conference on Decision and Control and the 2005 European Control Conference}},
  isbn         = {{0-7803-9568-9}},
  keywords     = {{Plant state information; Linear-quadratic controllers; Multiple control tasks}},
  language     = {{eng}},
  pages        = {{4469--4474}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{Optimal On-line Sampling Period Assignment for Real-Time Control Tasks Based on Plant State Information}},
  url          = {{https://lup.lub.lu.se/search/files/5964964/625578.pdf}},
  doi          = {{10.1109/CDC.2005.1582866}},
  year         = {{2005}},
}