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

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Author

Summary, in English

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.

Publishing year

2005

Language

English

Pages

4469-4474

Publication/Series

Proceedings of the 44th IEEE Conference on Decision and Control and the 2005 European Control Conference

Document type

Conference paper

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • Control Engineering

Keywords

  • Plant state information
  • Linear-quadratic controllers
  • Multiple control tasks

Conference name

44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05

Conference date

2005-12-12 - 2005-12-15

Conference place

Seville, Spain

Status

Published

ISBN/ISSN/Other

  • ISBN: 0-7803-9568-9