DocumentCode
547394
Title
Control model for loading systems using higher order singular value decomposition
Author
Orbán, Gabriella ; Rövi, András ; Várlaki, Péter
Author_Institution
Dept. of Inf., Szechenyi Istvan Univ., Gyor, Hungary
Volume
3
fYear
2011
fDate
10-12 June 2011
Firstpage
754
Lastpage
758
Abstract
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.
Keywords
linear systems; loading; logistics; nonlinear control systems; singular value decomposition; tensors; higher order singular value decomposition; information flow; linear control theory; linear parameter varying structure; loading system control model; logistic process; material flow; nonlinear system; tensor; uncertain input parameter; Load modeling; Loading; Logistics; Process control; Tensile stress; Vehicles; HOSVD; LPV model; adaptive behavior; loading system; multidimensional data approximation;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-8727-1
Type
conf
DOI
10.1109/CSAE.2011.5952783
Filename
5952783
Link To Document