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Frequency domain system identification: a full estimation approach

Costin Barbu, Russell Trahan

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Abstract

The purpose of this paper is to address the full estimation issue, where both the order and the parameters are identified for single-input/single-output linear time-invariant systems. The technique introduced here investigates the system identification problem when the phase information is lacking and only the magnitude of the input/output and the frequency data are available. The system identification approach described in this work has been shown to function with good results on both simulated and measured data

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What this paper is about

The purpose of this paper is to address the full estimation issue, where both the order and the parameters are identified for single-input/single-output linear time-invariant systems. The technique introduced here investigates the system identification problem when the phase information is lacking and only the magnitude of the input/output and the frequency data are available. The system identification approach described in this work has been shown to function with good results on both simulated and measured data

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The purpose of this paper is to address the full estimation issue, where both the order and the parameters are identified for single-input/single-output linear time-invariant systems. The technique introduced here investigates the system identification problem when the phase information is lacking and only the magnitude of the input/output and the frequency data are available. The system identification approach described in this work has been shown to function with good results on both simulated and measured data

Key concepts: Frequency domain, Identification (biology), LTI system theory, Computer science, System identification, Linear system, Estimation theory, Function (biology)

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