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Optimal Real-Time Scheduling of Control Tasks with State Feedback Resource Allocation

Abstract : This paper proposes a new approach for the optimal integrated control and real-time scheduling of control tasks. First, the problem of the optimal integrated control and nonpreemptive off-line scheduling of control tasks in the sense of the H2 performance criterion is addressed. It is shown that this problem may be decomposed into two sub-problems. The first sub-problem aims at finding the optimal non-preemptive off-line schedule, and may be solved using the branch and bound method. The second sub-problem uses the lifting technique to determine the optimal control gains, based on the solution of the first sub-problem. Second, an efficient on-line scheduling algorithm is proposed. This algorithm, called Reactive Pointer Placement (RPP) scheduling algorithm, uses the plant state information to dispatch the computational resources in a way that improves control performance. Control performance improvements as well as stability guarantees are formally proven. Finally, simulations as well as experimental results are presented in order to illustrate the effectiveness of the proposed approach.
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Contributor : Mohamed El Mongi Ben Gaid Connect in order to contact the contributor
Submitted on : Friday, February 27, 2009 - 11:49:57 PM
Last modification on : Friday, August 5, 2022 - 2:54:00 PM
Long-term archiving on: : Tuesday, June 8, 2010 - 9:12:49 PM


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Mohamed El Mongi Ben Gaid, Arben Cela, Yskandar Hamam. Optimal Real-Time Scheduling of Control Tasks with State Feedback Resource Allocation. IEEE Transactions on Control Systems Technology, 2009, 17 (2), pp.309-326. ⟨10.1109/TCST.2008.924566⟩. ⟨inria-00364947⟩



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