Data-driven control of infinite dimensional systems: Application to a continuous crystallizer
Systems and Control
2020-12-17 v1 Systems and Control
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.
Cite
@article{arxiv.2012.09069,
title = {Data-driven control of infinite dimensional systems: Application to a continuous crystallizer},
author = {Pauline Kergus},
journal= {arXiv preprint arXiv:2012.09069},
year = {2020}
}