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- Kergus, PaulineLund University,Lunds universitet,Institutionen för reglerteknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Automatic Control,Departments at LTH,Faculty of Engineering, LTH (author)
Data-driven control of infinite dimensional systems : Application to a continuous crystallizer
- Article/chapterEnglish2021
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- 2021
- 6 s.
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- LIBRIS-ID:oai:lup.lub.lu.se:c4d9fa50-0435-4aaf-9d26-8f725b9a243e
- https://lup.lub.lu.se/record/c4d9fa50-0435-4aaf-9d26-8f725b9a243eURI
- https://doi.org/10.23919/ACC50511.2021.9483117DOI
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- Language:English
- Summary in:English
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- 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.
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- Institutionen för reglerteknikInstitutioner vid LTH (creator_code:org_t)
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- In:2021 American Control Conference, ACC 20212021-May, s. 1438-14430743-16199781665441971
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