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research article

Achieving Optimal Performance With Data-Driven Frequency-Based Control Synthesis Methods

Schuchert, Philippe Louis  
•
Karimi, Alireza  
January 1, 2023
IEEE Control Systems Letters

Frequency Response Function (FRF)-based control synthesis methods for Linear Time-Invariant (LTI) systems have been widely used in control theory and industry. Recently, there has been renewed interest in these methods, employing numerical optimization tools to enhance their performance. In this letter, we analyze the convergence properties of two data-driven frequency based H(2 )and H-infinity synthesis methods (Karimi and Kammer, 2017), (Schuchert et al., 2024) as the controller order increases. We demonstrate that, in the limit, an optimal controller can be designed using only the FRF, providing an estimate of the best achievable performance or enabling the design of an optimal high-order controller.

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Type
research article
DOI
10.1109/LCSYS.2023.3337592
Web of Science ID

WOS:001129117400006

Author(s)
Schuchert, Philippe Louis  
Karimi, Alireza  
Date Issued

2023-01-01

Publisher

Ieee-Inst Electrical Electronics Engineers Inc

Published in
IEEE Control Systems Letters
Volume

7

Start page

3567

End page

3572

Subjects

Technology

•

Data-Driven Control

•

Optimal Control

•

Optimization

•

Robust Control

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
SCI-STI-AK  
FunderGrant Number

Innosuisse - Schweizerische Agentur fr Innovationsfrderung

Available on Infoscience
February 20, 2024
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/204807
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