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dc.contributor.authorUchida, Thomas Kenji
dc.contributor.authorVyasarayani, Chandrika Prakash
dc.contributor.authorMcPhee, John
dc.contributor.authorCarvalho, Ashwin 19:55:06 (GMT) 19:55:06 (GMT)
dc.descriptionThe final publication is available at Springer via
dc.description.abstractIdentifying the parameters in a mathematical model governed by a system of ordinary differential equations is considered in this work. It is assumed that only partial state measurement is available from experiments, and that the parameters appear nonlinearly in the system equations. The problem of parameter identification is often posed as an optimization problem, and when deterministic methods are used for optimization, one often converges to a local minimum rather than the global minimum. To mitigate the problem of converging to local minima, a new approach is proposed for applying the homotopy technique to the problem of parameter identification. Several examples are used to demonstrate the effectiveness of the homotopy method for obtaining global minima, thereby successfully identifying the system parameters.en
dc.description.sponsorshipThe financial support provided to the first author by the Ontario Centres of Excellence, to the second author by the Natural Sciences and Engineering Research Council of Canada (NSERC), to the third author by the MITACS Globalink Program, and to the fourth author by the NSERC/Toyota/Maplesoft Industrial Research Chair program is gratefully acknowledged.en
dc.subjectGlobal optimizationen
dc.subjectParameter estimationen
dc.subjectPartial state measurementen
dc.subjectReduced-order modelingen
dc.titleParameter identification in dynamic systems using the homotopy optimization approachen
dcterms.bibliographicCitationVyasarayani, C. P., Uchida, T., Carvalho, A., & McPhee, J. (2011). Parameter identification in dynamic systems using the homotopy optimization approach. Multibody System Dynamics, 26(4), 411–424.
uws.contributor.affiliation1Faculty of Engineeringen
uws.contributor.affiliation2Systems Design Engineeringen

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