Optimal On-line (m,k)-firm Constraint Assignment for Real-time Control Tasks Based on Plant State Information

Abstract : In this paper, we study the problem of scheduling a set of control tasks. We distinguish three different situations of states of controlled plants: not activated, steady state situation and transient situation. The infinite-horizon and finite-horizon cost functions are respectively used to represent the performance of each control task in last two situations. We propose a scheduling architecture in which, according to the plant state situation, the task handler switches between these two types of performance criterion to determine an on-line (m,k)-constraint based control task scheduling strategy, so that the overall control performance is maintained at a high level in each situation subject to the task schedulability. The approach is exemplified on a set of controllers for different plants.
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Communication dans un congrès
13th IEEE International Conference on Emerging Technologies and Factory Automation - ETFA, Sep 2008, Hamburg, Germany. IEEE, pp.908-915, 2008, 〈10.1109/ETFA.2008.4638504〉
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Contributeur : Flavia Felicioni <>
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Dernière modification le : jeudi 11 janvier 2018 - 06:20:05
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Flavia Felicioni, Ning Jia, Françoise Simonot-Lion, Ye-Qiong Song. Optimal On-line (m,k)-firm Constraint Assignment for Real-time Control Tasks Based on Plant State Information. 13th IEEE International Conference on Emerging Technologies and Factory Automation - ETFA, Sep 2008, Hamburg, Germany. IEEE, pp.908-915, 2008, 〈10.1109/ETFA.2008.4638504〉. 〈inria-00335942〉

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