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

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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. Model/Controller reduction, Stability of linear systems, Control applications.

Original languageEnglish
Title of host publication2021 American Control Conference, ACC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1438-1443
Number of pages6
ISBN (Electronic)9781665441971
DOIs
Publication statusPublished - 2021 May 25
Event2021 American Control Conference, ACC 2021 - Virtual, New Orleans, United States
Duration: 2021 May 252021 May 28

Publication series

NameProceedings of the American Control Conference
Volume2021-May
ISSN (Print)0743-1619

Conference

Conference2021 American Control Conference, ACC 2021
Country/TerritoryUnited States
CityVirtual, New Orleans
Period2021/05/252021/05/28

Subject classification (UKÄ)

  • Control Engineering

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