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Frequency Domain Identification of Multirate Systems: A Lifted Local Polynomial Modeling Approach

A Lifted Local Polynomial Modeling Approach
Authors: van Haren, Max; Blanken, Lennart; Oomen, Tom;

Frequency Domain Identification of Multirate Systems: A Lifted Local Polynomial Modeling Approach

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.

Country
Netherlands
Keywords

Benchmark testing, Control systems, eess.SY, Lifting, Linear systems, Systems and Control (eess.SY), cs.SY, Mechatronics, Sampled-data system, Electrical Engineering and Systems Science - Systems and Control, Time-frequency analysis, Local Polynomial Method, Multirate, Transfer functions, Performance evaluation, FOS: Electrical engineering, electronic engineering, information engineering, Mechatronic Systems, Local Polynomial Modeling, System identification, Estimation

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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