基于高阶奇异值分解的加载系统控制模型

G. Orban, A. Rovid, P. Várlaki
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引用次数: 3

摘要

本文提出了一种基于张量的高阶奇异分解(HOSVD)构造加载系统控制模型的方法。现代物流需要能够通过自动化控制过程来发展和改善物料和信息流的控制系统。在线性控制理论的基础上,提出了线性变参数结构(LPV)在非线性系统控制中的应用。描述系统,建模逻辑过程需要许多不确定的输入参数。使用该方法可以将模型的复杂性保持在较低的水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Control model for loading systems using higher order singular value decomposition
In this paper we present a method for constructing a control model of loading systems based on higher order singular decomposition (HOSVD) of a tensor. Modern logistics need control systems that are able to develop and improve the material and information flow by automating the control processes. We propose the application of linear parameter varying (LPV) structure by which non-linear systems can be controlled on the basis of linear control theories. Describing the system, modeling logistic processes require many uncertain input parameters. Using the proposed method the complexity of the model can be kept on a lower level.
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