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Neural Feedback Scheduling of Real-Time Control Tasks

Xia, Feng, Tian, Yu-Chu, Sun, Youxian, & Dong, Jinxiang (2008) Neural Feedback Scheduling of Real-Time Control Tasks. International Journal of Innovative Computing, Information and Control (IJICIC), 4(11), pp. 2965-2975.

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Abstract

Many embedded real-time control systems suffer from resource constraints and dynamic workload variations. Although optimal feedback scheduling schemes are in principle capable of maximizing the overall control performance of multitasking control systems, most of them induce excessively large computational overheads associated with the mathematical optimization routines involved and hence are not directly applicable to practical systems. To optimize the overall control performance while minimizing the overhead of feedback scheduling, this paper proposes an efficient feedback scheduling scheme based on feedforward neural networks. Using the optimal solutions obtained offline by mathematical optimization methods, a back-propagation (BP) neural network is designed to adapt online the sampling periods of concurrent control tasks with respect to changes in computing resource availability. Numerical simulation results show that the proposed scheme can reduce the computational overhead significantly while delivering almost the same overall control performance as compared to optimal feedback scheduling.

Impact and interest:

5 citations in Scopus
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3 citations in Web of Science®

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Full-text downloads:

141 since deposited on 16 Jun 2008
34 in the past twelve months

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ID Code: 13803
Item Type: Journal Article
Keywords: Feedback scheduling, Neural networks, Real, time scheduling, Computational overhead, Embedded control systems
ISSN: 1349-4198
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > COMPUTER SOFTWARE (080300)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2008 ICIC International
Copyright Statement: Reproduced in accordance with the copyright policy of the publisher.
Deposited On: 16 Jun 2008
Last Modified: 29 Feb 2012 23:47

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