Data-driven control of infinite dimensional systems: Application to a continuous crystallizer
Year: 2020
Type: preprint
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.
Source: arXiv (Cornell University)
Author: Kergus, Pauline
Institution: Lund University
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
Funders: European Commission, Lunds Universitet
OpenAlex ID: W4287551590