Detail publikačního výsledku

Monte carlo based detection of parameter correlation in simulation models

NAJMAN, J.; BRABLC, M.; RAJCHL, M.; BASTL, M.; SPÁČIL, T.; APPEL, M.

Originální název

Monte carlo based detection of parameter correlation in simulation models

Anglický název

Monte carlo based detection of parameter correlation in simulation models

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

Simulation models which are of high order or are automatically generated via modelling software are usually depended on high number of unknown parameters. In this paper we present a method for detecting correlation between these parameters and identifying the subspace shape for their uncorrelated complements. This can be further used to lower the order of the optimization problem. For our low-order examples the methods’ operating principle is visualized and the subspace is shown.

Anglický abstrakt

Simulation models which are of high order or are automatically generated via modelling software are usually depended on high number of unknown parameters. In this paper we present a method for detecting correlation between these parameters and identifying the subspace shape for their uncorrelated complements. This can be further used to lower the order of the optimization problem. For our low-order examples the methods’ operating principle is visualized and the subspace is shown.

Klíčová slova

MATLAB;Model-Based Design;Monte Carlo;Parameter correlation;Parameter estimation;PCA;Simulation;Simulink;

Klíčová slova v angličtině

MATLAB;Model-Based Design;Monte Carlo;Parameter correlation;Parameter estimation;PCA;Simulation;Simulink;

Autoři

NAJMAN, J.; BRABLC, M.; RAJCHL, M.; BASTL, M.; SPÁČIL, T.; APPEL, M.

Rok RIV

2020

Vydáno

16.08.2019

Nakladatel

Springer Verlag

Místo

Warsaw

ISBN

9783030299927

Kniha

Advances in Intelligent Systems and Computing - Mechatronics 2019: Recent Advances Towards Industry 4.0

Edice

1

ISSN

2194-5357

Periodikum

Advances in Intelligent Systems and Computing

Svazek

1044

Stát

Švýcarská konfederace

Strany od

54

Strany do

61

Strany počet

8

URL

https://www.scopus.com/record/display.uri?eid=2-s2.0-85072902194&origin=resultslist&sort=plf-f&src=s&st1=Monte+Carlo+Based+Detection+of+Parameter+Correlation+in+Simulation+Models&st2=&sid=787f31190bbd4464ce77649579dea956&sot=b&sdt=b&sl=88&s=TITLE-ABS-KEY%28Monte+Carlo+Based+Detection+of+Parameter+Correlation+in+Simulation+Models%29&relpos=0&citeCnt=0&searchTerm=

BibTex

@inproceedings{BUT160010,
  author="Jan {Najman} and Martin {Brablc} and Matej {Rajchl} and Michal {Bastl} and Tomáš {Spáčil} and Martin {Appel}",
  title="Monte carlo based detection of parameter correlation in simulation models",
  booktitle="Advances in Intelligent Systems and Computing - Mechatronics 2019: Recent Advances Towards Industry 4.0",
  year="2019",
  series="1",
  journal="Advances in Intelligent Systems and Computing",
  volume="1044",
  number="1044",
  pages="54--61",
  publisher="Springer Verlag",
  address="Warsaw",
  doi="10.1007/978-3-030-29993-4\{_}7",
  isbn="9783030299927",
  issn="2194-5357",
  url="https://www.scopus.com/record/display.uri?eid=2-s2.0-85072902194&origin=resultslist&sort=plf-f&src=s&st1=Monte+Carlo+Based+Detection+of+Parameter+Correlation+in+Simulation+Models&st2=&sid=787f31190bbd4464ce77649579dea956&sot=b&sdt=b&sl=88&s=TITLE-ABS-KEY%28Monte+Carlo+Based+Detection+of+Parameter+Correlation+in+Simulation+Models%29&relpos=0&citeCnt=0&searchTerm="
}