Technical note: Hybrid Loewner Data Driven Control
Pierre Vuillemin, Pauline Kergus, Charles Poussot-Vassal

TL;DR
This paper introduces a hybrid control scheme using the Loewner framework to derive discrete-time controllers from frequency data, ensuring model matching up to the Nyquist frequency, demonstrated through numerical examples.
Contribution
It presents a novel hybrid control method combining data-driven control with the Loewner framework for continuous-to-discrete system matching.
Findings
Effective control law derived from frequency data
Successful numerical validation on examples
Matches continuous-time reference models up to Nyquist frequency
Abstract
This note describes how the Loewner framework can be exploited to create a discrete-time control-law from frequency-data of a continuous-time plant so that their hybrid interconnection matches a given continuous-time reference model up to the Nyquist frequency. The resulting Hybrid Loewner Data Driven Control scheme is illustrated on two numerical examples.
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Taxonomy
TopicsControl Systems and Identification · Advanced Control Systems Optimization · Iterative Learning Control Systems
