非线性供应链动态系统的模糊鲁棒控制研究
发布时间：2018-07-26 09:39
【摘要】：随着市场经济的快速发展和顾客需求的多样变化,集合各节点企业及关键业务为一体的供应链系统正日益受到广泛关注。有效的供应链管理会根据不断变化的外部环境、运作提前期和不确定性等扰动因素,适时帮助企业调整管理策略,从而实现供应链价值最大化。由顾客需求变动、原材料价格上涨以及提前期延迟等因素组成的不确定性,常使供应链系统呈现非线性特征。而模糊鲁棒控制理论对分析和控制非线性供应链系统的运作情况极为有效,因为其充分考虑了被控对象的各种不确定性,以便准确分析系统的动态性能,从而有效抑制不确定性影响,最终可实现系统的稳定运作。因此,加深对非线性供应链系统运作过程研究,并深入研究模糊鲁棒H∞控制方法,对缓解提前期、系统内部不确定参数以及外部顾客需求引起系统运作过程的较大波动,提升供应链效益,增强企业竞争力,实现经济健康稳定发展,有着重要的现实意义。 基于此,本文从非线性供应链系统着手,针对系统的运作过程,深入分析了系统内部参数不确定、外部顾客需求不确定以及提前期的影响,结合T-S模糊理论,建立了三种非线性供应链系统的模糊模型,并提出了相应的模糊鲁棒H∞控制方法,以抑制系统运作的较大波动。本文主要工作及贡献体现在以下方面： (1)研究了在系统内部不确定参数和外部不确定顾客需求的影响下,非线性供应链系统的鲁棒运作问题。首先,根据Takagi-Sugeno (T-S)模糊控制理论,建立了一类含系统内部参数不确定的非线性供应链系统的T-S模糊模型,然后提出了一种新的鲁棒H∞控制方法,最后通过仿真算例验证了该方法的可行性； (2)考虑提前期和外部不确定顾客需求的影响,构建了一类非线性供应链系统的T-S模糊模型,并结合鲁棒控制理论,提出了一种新的模糊鲁棒H∞控制方法,以抑制系统运作的较大波动,最后借助数值算例对所提方法的有效性进行了验证； (3)围绕提前期、系统内部不确定参数和外部不确定顾客需求,对非线性供应链系统运作过程的影响展开研究。针对该种情况,利用T-S模糊理论,建立了一类非线性供应链系统的T-S模糊模型,为了保证系统运作的平稳波动,设计了一个新的模糊鲁棒H∞控制方法,并通过仿真研究分析了该情况下非线性供应链系统的稳定性。
[Abstract]:With the rapid development of market economy and the variety of customer demand, the supply chain system, which integrates all node enterprises and key business, has been paid more and more attention. Effective supply chain management can help enterprises adjust their management strategies according to the disturbance factors such as changing external environment, operating lead time and uncertainty, so as to maximize the value of supply chain. The uncertainty, which consists of the change of customer demand, the rise of raw material price and the delay of lead time, often makes the supply chain system show nonlinear characteristics. The fuzzy robust control theory is very effective in analyzing and controlling the operation of nonlinear supply chain system, because it takes into account all kinds of uncertainties of the controlled object, so as to accurately analyze the dynamic performance of the system. Thus, the uncertain influence can be suppressed effectively, and the system can be operated stably in the end. Therefore, the study of nonlinear supply chain system operation process and fuzzy robust H 鈭，
本文编号：2145592
[Abstract]:With the rapid development of market economy and the variety of customer demand, the supply chain system, which integrates all node enterprises and key business, has been paid more and more attention. Effective supply chain management can help enterprises adjust their management strategies according to the disturbance factors such as changing external environment, operating lead time and uncertainty, so as to maximize the value of supply chain. The uncertainty, which consists of the change of customer demand, the rise of raw material price and the delay of lead time, often makes the supply chain system show nonlinear characteristics. The fuzzy robust control theory is very effective in analyzing and controlling the operation of nonlinear supply chain system, because it takes into account all kinds of uncertainties of the controlled object, so as to accurately analyze the dynamic performance of the system. Thus, the uncertain influence can be suppressed effectively, and the system can be operated stably in the end. Therefore, the study of nonlinear supply chain system operation process and fuzzy robust H 鈭，
本文编号：2145592
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