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 :
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