Achieving Optimal Performance With Data-Driven Frequency-Based Control Synthesis Methods
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.
WOS:001129117400006
2023-01-01
7
3567
3572
REVIEWED
Funder | Grant Number |
Innosuisse - Schweizerische Agentur fr Innovationsfrderung | |