A PARAMETRIC IDENTIFICATION OF STOCHASTICALLY LOADED STRUCTURES AND ITS SOFTWARE SUPPORT

Authors

  • Bohuš Leither

Keywords:

stochastic load, parametric identification, vector autoregressive model VARMA, cranes, software tools - ArmaGet, Matlab, ARMASA Package

Abstract

The paper contains descriptions of one possible approach of an identification of stochastically loaded structures. The purpose of this approach is to find an algorithm of a forecasting control of their working in real working conditions. It deals with a proposal of an application of vector time series moving average models (VARMA). Their parameters are possible to determine using the nonlinear modification of the least squares method. The paper contains a main theoretical principle of solved area and its application on a real testing structures. The main purpose of practical apllication is to identify the important parameters and to examine their relations to one another while gantry crane structure was modelled.

Downloads

Download data is not yet available.

References

(1) ALBERTOS, P., OLIVARES, M.: On line learning control of a gantry crane. In: Proceedings
of the 15th IEEE International Symposium on Intelligent Control (ISIC 2000), Rio Patras,
Greece 2000. Web: http://ieeexplore.ieee.org/stamp/stamp. jsp?arnumber=00882916.
(2) BEŇO, B.: Stochastic methods of transport machines dynamic systems identification. [PhD
Study]. ŽU, Žilina 2003.
(3) BROERSEN, P.M.T.: Software Tool ARMASA Package, web: http://www.mathworks.com
/matlabcentral/fileexchange/loadFile.do?objectId=1330&objectType=file.
(4) BROERSEN, P.M.T., BOS, R.: Time-series analysis if data are randomly missing. TU Delft
digital repository, IEEE, 2006, Netherlands, http://repository.tudelft.nl/file/379514/ 370833.
(5) LEITNER, B., URÍČEK, J.: A Method for Adaptive Identification of Stochastically Loaded
parts of Mechanical Systems. In: IMETI 2010: the 3rd international multi-conference on
engineering and technological innovation, Vol.II, p.174-179.Orlando, Florida, USA. ISBN 978-
1-936338-03-0.
(6) LEITNER, B.: A new approach to identification and modelling of machines dynamic systems
behaviour. In: Proceedings of the 14th international conference “Transport means 2010”,
Kaunas University of Technology, Kaunas, Lithuania. 2010. p. 17-20. ISSN 1822-296X.
(7) LEITNER, B.: Data dependent systems and their use in dynamic systems identification and
modelling. In: Scientific magazine “Mechanics Transport Communications”, Nr. 3, (2009), p.
IX-1-IX-6., Sofia, Bulgaria, ISSN 1312-3823.
(8) MÁCA, J.: Identification and Modelling of Dynamic Systems. [Monograph]. Transport
university, Žilina, Slovakia 1991.
(9) VAŠKO, M., SÁGA, M., BEDNÁR, R., KOPAS, P.: Solution Efficiency Analysis of the
Mechanical Systems with the Uncertain Parameters Considering the Uncertainty Interval Various Width. In: Transactions of the Technical University of Košice. 3/2009, p. 165–168.
ISSN 1335-2334.
(10)VAŠKO, M., SÁGA, M.: Solution of Mechanical Systems with Uncertainty Parameters using
IFEA. In: Communications, Vol. 11, Nr. 2, p. 9–27, Žilina 2009, ISSN 1335–4205.

Downloads

Published

2011-12-30

How to Cite

Leither, B. (2011). A PARAMETRIC IDENTIFICATION OF STOCHASTICALLY LOADED STRUCTURES AND ITS SOFTWARE SUPPORT. Perner’s Contacts, 6(4), 176–187. Retrieved from https://pernerscontacts.upce.cz/index.php/perner/article/view/914

Issue

Section

Articles

Most read articles by the same author(s)