DATA DEPENDENT SYSTEMS AS A TOOL FOR MODELLING OF STOCHASTIC PROCESSES IN TRANSPORT AREA

Authors

  • Bohuš Leither
  • Lucie Ďuranová

Keywords:

data dependent system, stochastic operational process, time serie

Abstract

The aim of the paper is short description of possibilities of data dependent systems (DDS) mathematical apparatus using. Basic form of DDS expression is form a stochastic time series of process which can be used to description and modelling of stochastic process, e.g. operational process. The paper contains a briefly characteristics of fundamental terms and equations of time series theory mathematical apparatus, algorithm of a statistically adequate discrete model of stochastically dynamic system and developed strategy application on real process.

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References

(1) KOVÁČ, M., REMIŠOVÁ, DECKÝ, M., ĎURČANSKÁ, D., ČELKO, J.: Diagnostika
parametrov prevádzkovej spôsobilosti vozoviek. 1. vyd., Žilina: Žilinská univerzita, 2012.
256 s., ISBN 978-80-554-0568-1
(2) LEITNER, B.: Autoregressive models in modelling and simulation of transport means
working conditions. In: Transport means: the 14th international conference: Kaunas
University of Technology, Kaunas, Lithuania. 2010, s. 21-24, ISSN 1822-296X.
(3) LEITNER, B.: The software tool for mechanical structures dynamic systems
identification.. In: 15th international conference Transport means 2011: October 20-21,
2011, Kaunas University of Technology, Lithuania, s. 38-41, ISSN 1822-296X.
(4) ČELKO, J., DECKÝ, M., KOVÁČ, M.: An analysis of vehicle – road surface interaction
for classification of IRI in frame of Slovak PMS. In: Maintenance and reliability. Polish
Maintenance society, Nr 1 (41) 2009, str.15-21, ISSN 1507-2711.

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Published

2013-07-12

How to Cite

Leither, B., & Ďuranová, L. (2013). DATA DEPENDENT SYSTEMS AS A TOOL FOR MODELLING OF STOCHASTIC PROCESSES IN TRANSPORT AREA. Perner’s Contacts, 8(2), 106–115. Retrieved from https://pernerscontacts.upce.cz/index.php/perner/article/view/737

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