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Frequency Domain System Identification with Instrumental Variable Based Subspace Algorithm
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
1997 (English)In: Proceedings of the 16th Biennial Conference on Mechanical Vibration and Noise, 1997Conference paper (Refereed)
Abstract [en]

In this paper we discuss how the time domain subspace based identification algorithms can be modified in order to be applicable when the primary measurements are given as samples of the Fourier transform of the input and output signals or alternatively samples of the transfer function. An instrumental variable (IV) based subspace algorithm is presented. We show that this method is consistent if acertain rank constraint is satisfied and the frequency domain noise is zero mean with bounded covariances. An example is presented which illuminates the theoretical discussion.

Place, publisher, year, edition, pages
Keyword [en]
System identification, State-space models, Subspace methods, Numerical methods, Stochastic analysis, Frequency domain, Approximation
National Category
Control Engineering
URN: urn:nbn:se:liu:diva-93801OAI: diva2:626755
16th Biennial Conference on Mechanical Vibration and Noise, Sacramento, CA, USA, September, 1997
Swedish Research Council
Available from: 2013-06-10 Created: 2013-06-10 Last updated: 2013-06-10

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ReferencesLink to record
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