基于类区间需求预测方案的动态供应链输出反馈控制

Liping Liu, Baolin Zhang, Jian Sun, Tianhong Yan, Dawei Zhang, Zuqing Huang
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引用次数: 0

摘要

本文研究了基于类区间需求预测方案的动态供应链系统的输出反馈控制,以减小牛鞭效应。通过引入类区间时变时滞状态信号来预测下游站点的顺序变化,并考虑参数扰动,将动态供应链建模为具有类区间时滞的不确定线性离散系统。然后,提出了输出反馈控制方案,以提高供应链系统的性能。给出了输出反馈控制器存在的充分条件。仿真结果表明,所设计的输出反馈控制器能够有效地稳定类区间时滞和参数扰动的供应链系统。此外,如果适当地选择引入的类区间时滞,可以显著降低系统的牛鞭效应。
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Output feedback control of dynamic supply chains via interval-like demand prediction schemes
This paper is concerned with output feedback control to reduce the bullwhip effect of a dynamic supply chain system based on an interval-like demand prediction scheme. By introducing an interval-like time-varying delayed state signal to predict the order variations of downstream sites and taking into account the parametric perturbations, the dynamic supply chain is modeled as an uncertain linear discrete-time system with interval-like time-delay. Then, output feedback control scheme is proposed to improve the performance of the supply chain system. A sufficient condition to the existence of the output feedback controller is derived. It is found from simulation results that the designed output feedback controller can effectively stabilize the supply chain system with interval-like time-delay and parametric perturbations. Moreover, if the introduced interval-like time-delays are chosen properly, the bullwhip effect of the system can be reduced significantly.
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