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Obtaining Consistent Parameter Estimators for Second-Order Modulus Models
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-6231-2443
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-6523-8499
2019 (English)In: IEEE Control Systems Letters, E-ISSN 2475-1456, Vol. 3, no 4, p. 781-786Article in journal (Refereed) Published
Abstract [en]

This letter deals with the issue of obtaining consistent parameter estimators in nonlinear regression models where the regressors are second-order modulus functions, which is a structure that is often used in models of marine vessels. It is shown that the accuracy of an instrumental variable estimator can be improved by conducting experiments where the input signal has a static offset of sufficient amplitude and the instruments are forced to have zero mean. The proposed method is then evaluated in a simulation example.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2019. Vol. 3, no 4, p. 781-786
Keywords [en]
nonlinear system identification, grey-box modeling, maritime control
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-161992DOI: 10.1109/LCSYS.2019.2918098OAI: oai:DiVA.org:liu-161992DiVA, id: diva2:1370486
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VinnovaAvailable from: 2019-11-15 Created: 2019-11-15 Last updated: 2020-01-15

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Ljungberg, FredrikEnqvist, Martin
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