Segmentation-based optimal experiment design

László Dobos, Zoltán Bankó, J. Abonyi

Research output: Conference contribution

1 Citation (Scopus)

Abstract

Process models play important role in computer aided process engineering. Although the structure of these models is a priori known, model parameters should be estimated based on experiments. The accuracy of the estimated parameters largely depends on the information content of the experimental data presented to the parameter identification algorithm. Optimal Experiment Design (OED) can maximize the confidence on the model parameters. Considering that OED is an iterative process, it may happen that the designed experiment contains segments which are not or less useful for parameter identification. Using the tools of the OED there is the opportunity to qualify the segments of the time-series of different data sets. After the segmentation, it will be possible to choose the most appropriate segments for identification of each parameter, i.e. to determine the parameters as accurate as possible.

Original languageEnglish
Title of host publication10th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2009
Pages279-288
Number of pages10
Publication statusPublished - 2009
Event10th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2009 - Budapest, Hungary
Duration: nov. 12 2009nov. 14 2009

Other

Other10th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2009
CountryHungary
CityBudapest
Period11/12/0911/14/09

Fingerprint

Experiments
Identification (control systems)
Computer aided engineering
Process engineering
Time series

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems

Cite this

Dobos, L., Bankó, Z., & Abonyi, J. (2009). Segmentation-based optimal experiment design. In 10th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2009 (pp. 279-288)

Segmentation-based optimal experiment design. / Dobos, László; Bankó, Zoltán; Abonyi, J.

10th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2009. 2009. p. 279-288.

Research output: Conference contribution

Dobos, L, Bankó, Z & Abonyi, J 2009, Segmentation-based optimal experiment design. in 10th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2009. pp. 279-288, 10th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2009, Budapest, Hungary, 11/12/09.
Dobos L, Bankó Z, Abonyi J. Segmentation-based optimal experiment design. In 10th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2009. 2009. p. 279-288
Dobos, László ; Bankó, Zoltán ; Abonyi, J. / Segmentation-based optimal experiment design. 10th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2009. 2009. pp. 279-288
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