Frequency Domain System Identification Toolbox for MATLAB: Improvements and New Possibilities
نویسندگان
چکیده
منابع مشابه
Frequency Domain System Identification Toolbox for Matlab: Characterizing Nonlinear Errors of Linear Models
System identification often means the determination of linear models from input-output data. The behaviour of many systems can be described by an s-domain or z-domain transfer function model, at least for a given excitation amplitude range. The quality of the fit can be assessed by the analysis of the residuals, that is, of the difference between the measured data and the model. However, even s...
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A new frequency domain system identification method based on a multi-frequency input signal is proposed. Frequency contents of the oscillating signal are estimated using a modified Kaczmarz algorithm proposed in this paper. Lyapunov stability analysis is performed for this new Kaczmarz algorithm and transient bounds for estimation error are established. Moreover, a new method for estimation of ...
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An Extension to the Frequency Domain System Identification Toolbox for MATLAB has been developed. It adds a simple-to-use Graphical User Interface to the existing toolbox. It increases numerical stability by using orthogonal polynomials. Both periodic and nonperiodic excitation signals can be used by proper modeling in the frequency domain. Systems in closed loop can also be identified. Objects...
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Frequency domain system identiication has been rapidly developing during the past years. The new comprehensive Matlab toolbox is a successful implementation of the methods of the whole identiication procedure. Its core is a maximum likelihood estimate of parametric transfer function models, maybe with a delay, but also ooers help for nonparametric transfer function identiication. It contains to...
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ژورنال
عنوان ژورنال: IFAC Proceedings Volumes
سال: 1997
ISSN: 1474-6670
DOI: 10.1016/s1474-6670(17)42968-5