2014 European Control Conference, ECC 2014

Fengwei Chen, Marion Gilson, Juan Carlos Aguero, Hugues Garnier, Julien Schorsch

Research output: Contribution to conferencePaper

2 Citations (Scopus)

Abstract

© 2014 EUCA. In this paper, the instrumental variable (IV) and expectation-maximization (EM) methods are combined to identify a continuous-time (CT) transfer function model from non-uniformly sampled data obtained from a closed-loop system. A simple version of Box-Jenkins (BJ) model is considered, where the noise process is parameterized as a CT autoregressive (CAR) model. The advantage of considering CT models is to get a invariant solution while handling non-uniformly sampled data. The performance of the proposed method is evaluated by a simulation example.
Original languageEnglish
Pages19-24
Number of pages6
DOIs
Publication statusPublished - 1 Jan 2014
Externally publishedYes
Eventconference -
Duration: 1 Jan 2014 → …

Conference

Conferenceconference
Period1/01/14 → …

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  • Cite this

    Chen, F., Gilson, M., Aguero, J. C., Garnier, H., & Schorsch, J. (2014). 2014 European Control Conference, ECC 2014. 19-24. Paper presented at conference, . https://doi.org/10.1109/ECC.2014.6862422