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Fuzzy Identification from a Grey Box Modeling Point of View
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
1997 (English)In: Fuzzy Model Identification: Selected Approaches / [ed] Hans Hellendoorn and Dimiter Driankov, Berlin: Springer Berlin/Heidelberg, 1997, 3-50 p.Chapter in book (Other academic)
Abstract [en]

The design of mathematical models of complex real-world (and typically nonlinear) systems is essential in many fields of science and engineering. The developed models can be used, e.g., to explain the behavior of the underlying system as well as for prediction and control purposes

Place, publisher, year, edition, pages
Berlin: Springer Berlin/Heidelberg, 1997. 3-50 p.
Keyword [en]
Fuzzy, Identification, Grey box modeling, Automatic control, mathematical models, Fuzzy systems, Neural networks, System identification, Soft computing
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-56317DOI: 10.1007/978-3-642-60767-7_1ISBN: 3-540-62721-9 (print)OAI: oai:DiVA.org:liu-56317DiVA: diva2:318423
Available from: 2010-05-07 Created: 2010-05-07 Last updated: 2014-04-28

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Automatic ControlThe Institute of Technology
Control Engineering

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CiteExportLink to record
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