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Data-driven control of infinite dimensional systems : Application to a continuous crystallizer

Kergus, Pauline LU (2021) In IEEE Control Systems Letters 5(6). p.2120-2125
Abstract

Controlling infinite dimensional models remains a challenging task for many practitioners since they are not suitable for traditional control design techniques or will result in a high-order controller too complex for implementation. Therefore, the model or the controller need to be reduced to an acceptable dimension, which is time-consuming, requires some expertise and may introduce numerical error. This paper tackles the control of such a system, namely a continuous crystallizer, and compares two different data-driven strategies: the first one is a structured robust technique while the other one, called L-DDC, is based on the Loewner interpolatory framework.

Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Control applications., Crystallizers, Crystals, Frequency response, Model/Controller reduction, Process control, Resonant frequency, Robust control, Stability of linear systems, Steady-state
in
IEEE Control Systems Letters
volume
5
issue
6
pages
6 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:85098758512
ISSN
2475-1456
DOI
10.1109/LCSYS.2020.3045827
project
Scalable Control of Interconnected Systems
language
English
LU publication?
yes
id
ee2f2008-60d9-4aa8-90b8-b5751004d8e8
alternative location
https://arxiv.org/abs/2012.09069
date added to LUP
2021-01-15 14:01:49
date last changed
2025-04-04 14:23:57
@article{ee2f2008-60d9-4aa8-90b8-b5751004d8e8,
  abstract     = {{<p>Controlling infinite dimensional models remains a challenging task for many practitioners since they are not suitable for traditional control design techniques or will result in a high-order controller too complex for implementation. Therefore, the model or the controller need to be reduced to an acceptable dimension, which is time-consuming, requires some expertise and may introduce numerical error. This paper tackles the control of such a system, namely a continuous crystallizer, and compares two different data-driven strategies: the first one is a structured robust technique while the other one, called L-DDC, is based on the Loewner interpolatory framework.</p>}},
  author       = {{Kergus, Pauline}},
  issn         = {{2475-1456}},
  keywords     = {{Control applications.; Crystallizers; Crystals; Frequency response; Model/Controller reduction; Process control; Resonant frequency; Robust control; Stability of linear systems; Steady-state}},
  language     = {{eng}},
  month        = {{12}},
  number       = {{6}},
  pages        = {{2120--2125}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{IEEE Control Systems Letters}},
  title        = {{Data-driven control of infinite dimensional systems : Application to a continuous crystallizer}},
  url          = {{http://dx.doi.org/10.1109/LCSYS.2020.3045827}},
  doi          = {{10.1109/LCSYS.2020.3045827}},
  volume       = {{5}},
  year         = {{2021}},
}