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Robust MPL scheduling considering the number of in-process jobs

机译:考虑到进程中作业的数量,进行可靠的MPL调度

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A robust scheduling method for max-plus linear systems is proposed. A principal concern in scheduling problems is how to accomplish robustness against external disturbances. To accomplish this, methods based on model predictive control (MPC) have been put forward to control system parameters or control inputs. In this context, we recently proposed a method for indirectly controlling the state variables by utilizing the idea of dead time. The idea imposes constraints for upper bounds of in-processing jobs between facilities, whereas several practical systems also consider the lower bounds. This paper, therefore, considers a modeling and robust scheduling method that takes into account both constraints. A numerical simulation for a transportation system is also presented in order of the method's effectiveness.
机译:提出了一种鲁棒的最大加线性系统调度方法。调度问题中的主要关注点是如何实现抵抗外部干扰的鲁棒性。为此,已经提出了基于模型预测控制(MPC)的方法来控制系统参数或控制输入。在这种情况下,我们最近提出了一种利用空载时间概念间接控制状态变量的方法。这个想法对设施之间的处理中作业的上限施加了限制,而一些实际系统也考虑了下限。因此,本文考虑了同时考虑两个约束的建模和鲁棒调度方法。按照该方法的有效性,还对运输系统进行了数值模拟。

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