Frequency domain system identification: a full estimation approach
Costin Barbu, Russell Trahan
Abstract
Costin Barbu, Russell Trahan
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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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)