A Subspace Approach for Approximation of Rational Matrix Functions to Sampled Data
1996 (English)In: Proceedings of the 35th IEEE Conference on Decision and Control, 1996, 3660-3661 vol.4 p.Conference paper (Refereed)
Algorithms for approximation of rational matrix factors to data is described. The method is based on a subspace based multivariable frequency domain state-space identification, canonical and spectral factorization and parametric optimization. The algorithms can be used for identifying spectral factors and factors of positive real functions from frequency data. The methods are directly applicable in the D-K algorithm for complex μ-synthesis and the Y-Z-K algorithm for mixed μ-synthesis.
Place, publisher, year, edition, pages
1996. 3660-3661 vol.4 p.
Control system, Frequency-domain analysis, Identification, Optimization, State-space methods
IdentifiersURN: urn:nbn:se:liu:diva-93769DOI: 10.1109/CDC.1996.577197ISBN: 0-7803-3590-2OAI: oai:DiVA.org:liu-93769DiVA: diva2:628865
35th IEEE Conference on Decision and Control, Kobe, Japan, December, 1996