Frequency Domain Identification of Multirate Systems

A Lifted Local Polynomial Modeling Approach

Conference Paper (2022)
Author(s)

Max van Haren (Eindhoven University of Technology)

Lennart Blanken (Sioux Technologies, Eindhoven University of Technology)

T.A.E. Oomen (Eindhoven University of Technology, TU Delft - Team Jan-Willem van Wingerden)

Research Group
Team Jan-Willem van Wingerden
Copyright
© 2022 Max van Haren, Lennart Blanken, T.A.E. Oomen
DOI related publication
https://doi.org/10.1109/CDC51059.2022.9992919
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 Max van Haren, Lennart Blanken, T.A.E. Oomen
Research Group
Team Jan-Willem van Wingerden
Pages (from-to)
2795-2800
ISBN (print)
978-1-6654-6761-2
Reuse Rights

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Abstract

Frequency-domain representations of multirate systems are essential for controller design and performance evaluation of multirate systems and sampled-data control. The aim of this paper is to develop a time-efficient closed-loop identification approach for multirate systems in the frequency-domain. The developed method utilizes local polynomial modeling for lifted representations of LPTV systems, which enables direct identification of closed-loop multirate systems in a single identification experiment. Unlike LTI identification techniques, the developed method does not suffer from bias due to ignored LPTV dynamics. The developed approach is demonstrated on a multirate example, resulting in accurate and fast identification in the frequency domain.

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