Frequency Domain Identification, Subspace Methods and Periodic Excitation
1995 (English)In: Proceedings of the 2nd Russian-Swedish Control Conference, 1995, 138-142 p.Conference paper (Other academic)
Recent frequency domain identification algorithms based on subspace based techniques are discussed. The algorithms construct a state-space model by means of extraction of the signal subspace from a matrix constructed from frequency data. A singular value decomposition plays a key part in the subspace extraction. The subspace methods are non-iterative methods in contrast to classical iterative parametric optimization techniques. The use of periodic excitation leads to a leakage free discrete Fourier transform of the measured data as well as simple noise reduction possibilities by averaging.
Place, publisher, year, edition, pages
1995. 138-142 p.
Frequency, Identification, Subspace methods, Excitation
IdentifiersURN: urn:nbn:se:liu:diva-93716OAI: oai:DiVA.org:liu-93716DiVA: diva2:629077
2nd Russian-Swedish Control Conference, St. Petersburg, Russia, August, 1995