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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.
Original language | English |
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Pages (from-to) | 2120-2125 |
Number of pages | 6 |
Journal | IEEE Control Systems Letters |
Volume | 5 |
Issue number | 6 |
DOIs | |
Publication status | Published - 2021 Dec 1 |
Subject classification (UKÄ)
- Control Engineering
Free keywords
- Control applications.
- Crystallizers
- Crystals
- Frequency response
- Model/Controller reduction
- Process control
- Resonant frequency
- Robust control
- Stability of linear systems
- Steady-state
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Dive into the research topics of 'Data-driven control of infinite dimensional systems: Application to a continuous crystallizer'. Together they form a unique fingerprint.Projects
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ScalableControl: Scalable Control of Interconnected Systems
Rantzer, A. (PI), Jouini, T. (Researcher), Agner, F. (Researcher), Troeng, O. (Researcher), Kergus, P. (Researcher), Pates, R. (Researcher), Kjellqvist, O. (Researcher), Renganathan, V. (Researcher), Wu, D. (Researcher) & Lindberg, J. (Researcher)
2019/09/01 → 2024/08/31
Project: Research