Dealing with observational data in control

Wilson, Emma D. and Clairon, Q. and Henderson, R. and Taylor, C. James (2018) Dealing with observational data in control. Annual Reviews in Control, 46. pp. 94-106. ISSN 1367-5788

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Abstract

There is growing interest in the use of control theory for interdisciplinary applications, where data may be sparse or missing, be non-uniformly sampled, have greater uncertainty, and where there is no opportunity to collect repeat measurements. In such applications, problems posed by observational data and the issue of missing or irregular data need to be considered. We present a review on dealing with observational, missing and irregular data for control applications. This considers the following issues: i) how to identify a system model from observational data subject to missing measurements, ii) how to determine control inputs when output data includes missing measurements, and iii) how to ensure stability when future update times may be missed. Dealing with observational data and missing measurements is a key problem within the statistics literature, so we introduce statistical methods for dealing with this type of data. We aim to enable the integration of well-developed statistical methods of dealing with missing data into control theory. An example problem of using anticoagulants to control the blood clotting speed of patients is used throughout the paper.

Item Type:
Journal Article
Journal or Publication Title:
Annual Reviews in Control
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700/1712
Subjects:
?? interdisciplinarityobservational datacausationsystem identificationmissing measurementsmissing datalongitudinal dataperiodic controlirregular controlevent driven controlsoftwarecontrol and systems engineering ??
ID Code:
125395
Deposited By:
Deposited On:
22 May 2018 14:24
Refereed?:
Yes
Published?:
Published
Last Modified:
15 Jul 2024 17:52