An EM-based identification algorithm for a class of hybrid systems with application to power electronics

Aguilera, RP; Godoy, BI; Agüero, JC; Goodwin, GC; Yuz, JI

An EM-based identification algorithm for a class of hybrid systems with application to power electronics

Aguilera, RP

Godoy, BI Agüero, JC Goodwin, GC Yuz, JI

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Publication Type:: Journal Article
Citation:: International Journal of Control, 2014, 87 (7), pp. 1339 - 1351
Issue Date:: 2014-07-03

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Field	Value	Language
dc.contributor.author	Aguilera, RP https://orcid.org/0000-0003-4166-8341	en_US
dc.contributor.author	Godoy, BI	en_US
dc.contributor.author	Agüero, JC	en_US
dc.contributor.author	Goodwin, GC	en_US
dc.contributor.author	Yuz, JI	en_US
dc.date.issued	2014-07-03	en_US
dc.identifier.citation	International Journal of Control, 2014, 87 (7), pp. 1339 - 1351	en_US
dc.identifier.issn	0020-7179	en_US
dc.identifier.uri	http://hdl.handle.net/10453/118711
dc.description.abstract	In this paper we present an identification algorithm for a class of continuous-time hybrid systems. In such systems, both continuous-time and discrete-time dynamics are involved. We apply the expectation-maximisation algorithm to obtain the maximum likelihood estimate of the parameters of a discrete-time model expressed in incremental form. The main advantage of this approach is that the continuous-time parameters can directly be recovered. The technique is particularly well suited to fast-sampling rates. As an application, we focus on a standard identification problem in power electronics. In this field, our proposed algorithm is of importance since accurate modelling of power converters is required in high- performance applications and for fault diagnosis. As an illustrative example, and to verify the performance of our proposed algorithm, we apply our results to a flying capacitor multicell converter. © 2014 © 2014 Taylor & Francis.	en_US
dc.relation.ispartof	International Journal of Control	en_US
dc.relation.isbasedon	10.1080/00207179.2013.876668	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.classification	Industrial Engineering & Automation	en_US
dc.title	An EM-based identification algorithm for a class of hybrid systems with application to power electronics	en_US
dc.type	Journal Article
utslib.citation.volume	7	en_US
utslib.citation.volume	87	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	0102 Applied Mathematics	en_US
utslib.for	0913 Mechanical Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	open_access	*
pubs.issue	7	en_US
pubs.publication-status	Published	en_US
pubs.volume	87	en_US

Abstract:

In this paper we present an identification algorithm for a class of continuous-time hybrid systems. In such systems, both continuous-time and discrete-time dynamics are involved. We apply the expectation-maximisation algorithm to obtain the maximum likelihood estimate of the parameters of a discrete-time model expressed in incremental form. The main advantage of this approach is that the continuous-time parameters can directly be recovered. The technique is particularly well suited to fast-sampling rates. As an application, we focus on a standard identification problem in power electronics. In this field, our proposed algorithm is of importance since accurate modelling of power converters is required in high- performance applications and for fault diagnosis. As an illustrative example, and to verify the performance of our proposed algorithm, we apply our results to a flying capacitor multicell converter. © 2014 © 2014 Taylor & Francis.

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http://hdl.handle.net/10453/118711