Robust measurement selection design for experimental systems with input uncertainty

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Wang, Ke and Yue, Hong; (2021) Robust measurement selection design for experimental systems with input uncertainty. In: 2021 26th International Conference on Automation and Computing (ICAC). IEEE, GBR. ISBN 9781860435577 (https://doi.org/10.23919/ICAC50006.2021.9594201)

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Abstract

Input uncertainty in experimental implementation deteriorates data quality for parameter estimation. This work aims to examine the influence of input uncertainty, in particular the inaccurate setting of initial states, to parameter estimation and explore methods to mitigate the effects. First, a Monte-Carlo method is employed to generate input-output data. The input uncertainty is assumed to follow Gaussian distribution. Samples are taken from the uncertainty region and used to produce output through the dynamic system. Statistical characteristics are utilised to quantify uncertainty in outputs. Then a robust experimental design (RED) is proposed, in which the states that are less affected by input uncertainty are selected as measurement state variables. In addition, two different residual functions are used in parameter estimation to compare the estimation robustness against data uncertainty. Simulation studies are conducted using a benchmark enzyme reaction system. Compared to the nondesigned experimental settings, improved parameter estimation is achieved via robust design.

ORCID iDs

Wang, Ke and Yue, Hong ORCID logoORCID: https://orcid.org/0000-0003-2072-6223;
  • Item type:Book Section
    ID code:77210
    Dates:
    Date
    Event
    4 September 2021
    Published
    7 June 2021
    Accepted
    14 May 2021
    Submitted
    Notes:© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
    Department:Faculty of Engineering > Electronic and Electrical Engineering
    Depositing user: Pure Administrator
    Date deposited:29 Jul 2021 10:23
    Last modified:17 Dec 2024 01:05
    URI:https://strathprints.strath.ac.uk/id/eprint/77210
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