Issues in sampling and estimating continuous-time models with stochastic disturbances

Title: Issues in sampling and estimating continuous-time models with stochastic disturbances
Creator: Ljung, Lennart; Wills, Adrian
Relation: Automatica Vol. 46, Issue 5, p. 925-931
Publisher Link: http://dx.doi.org/10.1016/j.automatica.2010.02.011
Publisher: Elsevier
Resource Type: journal article
Date: 2010
Description: The standard continuous time state space model with stochastic disturbances contains the mathematical abstraction of continuous time white noise. To work with well defined, discrete time observations, it is necessary to sample the model with care. The basic issues are well known, and have been discussed in the literature. However, the consequences have not quite penetrated the practice of estimation and identification. One example is that the standard model of an observation, being a snapshot of the current state plus noise independent of the state, cannot be reconciled with this picture. Another is that estimation and identification of time continuous models require a more careful treatment of the sampling formulas. We discuss and illustrate these issues in the current contribution. An application of particular practical importance is the estimation of models based on irregularly sampled observations.
Subject: system identification; continuous-time; sampling; state-space models
Identifier: http://hdl.handle.net/1959.13/928016
Identifier: uon:10314
Identifier: ISSN:0005-1098
Language: eng
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