On task schedulability in real-time control systems


Most real-time computer-controlled systems are built in two separate steps, each in isolation: controller design and its digital implementation. Computational tasks that realize the control algorithms are usually scheduled by treating their execution times and periods as unchangeable parameters. Task scheduling therefore depends only on the limited computing resources available. On the other hand, controller design is primarily based on the continuous-time dynamics of the physical system being controlled. The set of tasks resulting from this controller design may not be schedulable with the limited computing resources available. Even if the given set of tasks is schedulable, the overall control performance may not be optimal in the sense that they do not make a full use of the computing resource. In this paper, we propose an integrated approach to controller design and task scheduling. Specijkalby, task frequencies (or periods) are allowed to vary within a certain range as long as such a change doesn’t afleet critical control functions such as maintenance of system stability. We present an algorithm that optimizes task frequencies and then schedules the resulting tasks with the limited computing resources available. The proposed approach is also applicable to failure recovery and reconfiguration in real-time control systems. Carnegie Mellon University Pittsburgh, PA 15213

DOI: 10.1109/REAL.1996.563693

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@inproceedings{Seto1996OnTS, title={On task schedulability in real-time control systems}, author={Danbing Seto and John P. Lehoczky and Lui Sha and Kang G. Shin}, booktitle={RTSS}, year={1996} }