Closed-loop identification of continuous-time systems from non-uniformly sampled data

Title: Closed-loop identification of continuous-time systems from non-uniformly sampled data
Creator: Chen, Fengwei; Gilson, Marion; Agüero, Juan Carlos; Garnier, Hugues; Schorsch, Julien
Relation: 2014 European Control Conference (ECC 2014). Proceedings of the 2014 European Control Conference (Strasbourg, France 24-27 June 2014) p. 19-24
Publisher Link: http://dx.doi.org/10.1109/ECC.2014.6862422
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Resource Type: conference paper
Date: 2014
Description: 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.
Subject: closed loop systems; data models; estimation; instruments; noise; vectors; zinc
Identifier: http://hdl.handle.net/1959.13/1065468
Identifier: uon:17850
Identifier: ISBN:9783952426913
Language: eng
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