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

Pauline Kergus

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arXiv · 2012.09069

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

Pauline Kergus

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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.

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Pauline Kergus. 2020-12-16. Data-driven control of infinite dimensional systems: Application to a continuous crystallizer. https://arxiv.org/abs/2012.09069

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