- Title
- An EM-based identification algorithm for a class of hybrid systems with application to power electronics
- Creator
- Aguilera, R. P.; Godoy, B. I.; Agüero, J. C.; Goodwin, G. C.; Yuz, J. I.
- Relation
- ARC.1095123 and 110103074
- Relation
- International Journal of Control Vol. 87, Issue 7, p. 1339-1351
- Publisher Link
- http://dx.doi.org/10.1080/00207179.2013.876668
- Publisher
- Taylor & Francis
- Resource Type
- journal article
- Date
- 2014
- Description
- 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.
- Subject
- system identification; maximum likelihood; power conversion
- Identifier
- http://hdl.handle.net/1959.13/1306117
- Identifier
- uon:21157
- Identifier
- ISSN:0020-7179
- Language
- eng
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