Abstract
For real-time computer-controlled systems, a control task does not have a fixed period but a range of periods in which control performance varies. Hence for multiple tasks scheduled on a single processor, to consider the optimization design of sampling periods in the co-design of control and scheduling is necessary to improve the control performance and use limited computing resource efficiently. In this paper, the mathematic description of the optimization problem of designing periods is presented, and the optimization solution using evolution strategy is proposed. The performances of proposed solution are revealed via simulation studies. Simulation shows that the optimization design of sampling periods can be implemented by using the evolution strategy method.
This work is supported by China NSF under Grant No. 60374058, 60373055 and 60473039; the National High-Tech Research and Development Program of China under Grant No. 2004AA412040 and 2004AA1Z2450.
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Jin, H., Wang, H., Wang, H., Dai, G. (2005). Optimization Design of Controller Periods Using Evolution Strategy. In: Hao, Y., et al. Computational Intelligence and Security. CIS 2005. Lecture Notes in Computer Science(), vol 3801. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11596448_164
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DOI: https://doi.org/10.1007/11596448_164
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30818-8
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