Publication result detail

Monte carlo based detection of parameter correlation in simulation models

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

Original Title

Monte carlo based detection of parameter correlation in simulation models

English Title

Monte carlo based detection of parameter correlation in simulation models

Type

Paper in proceedings (conference paper)

Original Abstract

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.

English abstract

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.

Keywords

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

Key words in English

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

Authors

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

RIV year

2020

Released

16.08.2019

Publisher

Springer Verlag

Location

Warsaw

ISBN

9783030299927

Book

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

Edition

1

ISBN

2194-5357

Periodical

Advances in Intelligent Systems and Computing

Volume

1044

State

Swiss Confederation

Pages from

54

Pages to

61

Pages count

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="
}