| Reservation-based feedback scheduling of MPC tasks |
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| 作者单位： | Zhou Pingfang（Inst. of Aerospace Science and Technology, Shanghai Jiaotong University, Shanghai 200030, P.R. China;Dept. of Automation, Shanghai Jiaotong University, Shanghai 200030, P.R. China） ;Xie Jianying（Dept. of Automation, Shanghai Jiaotong University, Shanghai 200030, P.R. China） ; |
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| 摘 要： | A reservation-based feedback scheduling (FS-CBS) of a set of model predictive control (MPC) tasks is presented to optimize the global control performance subject to limited computational resource. Implemented as anytime algorithm, MPC task allows computation time to be traded for control performance. Each MPC task is assigned with a constant bandwidth server (CBS), whose reserved processor time is adjusted dynamically. The FS-CBS is shown robust against the varying of execution time of MPC tasks at runtime. Simulation results illustrate its effectiveness.
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| 收稿时间： | 16 May 2005. |
Reservation-based feedback scheduling of MPC tasks |
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| Zhou Pingfang,Xie Jianying. Reservation-based feedback scheduling of MPC tasks[J]. Journal of Systems Engineering and Electronics, 2007, 18(1): 132-136. DOI: 10.1016/S1004-4132(07)60063-2 |
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| Authors: | Zhou Pingfang Xie Jianying |
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| Affiliation: | 1. Inst. of Aerospace Science and Technology, Shanghai Jiaotong University, Shanghai 200030, P.R. China;Dept. of Automation, Shanghai Jiaotong University, Shanghai 200030, P.R. China
2. Dept. of Automation, Shanghai Jiaotong University, Shanghai 200030, P.R. China |
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| Abstract: | A reservation-based feedback scheduling (FS-CBS) of a set of model predictive control (MPC) tasks is presented to optimize the global control performance subject to limited computational resource. Implemented as anytime algorithm, MPC task allows computation time to be traded for control performance. Each MPC task is assigned with a constant bandwidth server (CBS), whose reserved processor time is adjusted dynamically. The FS-CBS is shown robust against the varying of execution time of MPC tasks at runtime. Simulation results illustrate its effectiveness. |
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| Keywords: | Real-time control system Real-time scheduling Model predictive control |
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