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Identification of cascade water tanks using a PWARX model
Univ Gavle, Gavle, Sweden..
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control. (Syscon)
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control. (Syscon)
2018 (English)In: Mechanical systems and signal processing, ISSN 0888-3270, E-ISSN 1096-1216, Vol. 106, p. 40-48Article in journal (Refereed) Published
Abstract [en]

In this paper we consider the identification of a discrete-time nonlinear dynamical model for a cascade water tank process. The proposed method starts with a nominal linear dynamical model of the system, and proceeds to model its prediction errors using a model that is piecewise affine in the data. As data is observed, the nominal model is refined into a piecewise ARX model which can capture a wide range of nonlinearities, such as the saturation in the cascade tanks. The proposed method uses a likelihood-based methodology which adaptively penalizes model complexity and directly leads to a computationally efficient implementation.

Place, publisher, year, edition, pages
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD , 2018. Vol. 106, p. 40-48
Keyword [en]
System identification, Nonlinear systems, Piecewise ARX models
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:uu:diva-350267DOI: 10.1016/j.ymssp.2017.12.027ISI: 000426229100004OAI: oai:DiVA.org:uu-350267DiVA, id: diva2:1205310
Funder
Swedish Research Council, 621-2014-5874, 2016-06079
Available from: 2018-05-14 Created: 2018-05-14 Last updated: 2018-05-14Bibliographically approved

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Zachariah, DaveStoica, Peter

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