University of Oulu

Juuso, Esko K. (2020) Intelligent methodologies in recursive data-based modelling. In: Juuso, Esko, Lie, Bernt, Dahlquist, Erik & Ruuska, Jari (eds.) Proceedings of The 61st SIMS Conference on Simulation and Modelling SIMS 2020, September 22-24, Virtual Conference, Finland, Linköping Electronic Conference Proceedings 176, 466-474.

Intelligent methodologies in recursive data-based modelling

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Author: Juuso, Esko K.1
Organizations: 1Control Engineering, Environmental and Chemical Engineering, Faculty of Technology, University of Oulu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 0.5 MB)
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Language: English
Published: Linköping University Electronic Press, 2020
Publish Date: 2022-01-20


Intelligent methodologies are beneficial in developing understandable multimodel simulation solutions. Nonlinear scaling extends these applications by facilitating compact nonlinear approaches already at the basic level. Composite local models can continue using linear methodologies for various case-based models. The flexible handling of the new structures and recursive tuning are the keys in adapting the systems in varying operating conditions. The recursive tuning of the scaling functions has two levels: smooth adaptation and strong shape changes. Fuzzy set systems further extend application areas of the models by combining composite local models in a flexible way. The extensions of the data-based methodologies are suitable for developing these adaptive applications via the following steps: variable analysis, linear models and intelligent extensions. Evolutionary computation is used in the tuning of the resulting complex models both the scaling and interactions. Complex problems are solved level by level to keep the domain expertise as an essential part.

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Series: Linköping electronic conference proceedings
ISSN: 1650-3686
ISSN-E: 1650-3740
ISSN-L: 1650-3686
ISBN Print: 978-91-7929-731-2
Volume: 176
Issue: 66
Pages: 466 - 474
DOI: 10.3384/ecp20176466
Host publication: Proceedings of The 61st SIMS Conference on Simulation and Modelling SIMS 2020, September 22-24, Virtual Conference, Finland
Host publication editor: Juuso, Esko
Lie, Bernt
Dahlquist, Erik
Ruuska, Jari
Conference: 61st SIMS Conference on Simulation and Modelling
Type of Publication: A4 Article in conference proceedings
Field of Science: 215 Chemical engineering
Copyright information: © 2020 The Author and Linköping University Electronic Press. Creative Commons license BY-NC.