An efficient hierarchical identification method for general dual-rate sampled-data systems

For the lifted input–output representation of general dual-rate sampled-data systems, this paper presents a decomposition based recursive least squares (D-LS) identification algorithm using the hierarchical identification principle. Compared with the recursive least squares (RLS) algorithm, the prop...

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Veröffentlicht in:	Automatica (Oxford) Jg. 50; H. 3; S. 962 - 970
Hauptverfasser:	Liu, Yanjun, Ding, Feng, Shi, Yang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Kidlington Elsevier Ltd 01.03.2014 Elsevier
Schlagworte:	Applied sciences Computer science; control theory; systems Control system analysis Control theory. Systems Dual-rate system Exact sciences and technology Hierarchical identification principle Least squares Modelling and identification Multirate system Parameter estimation Recursive identification Recursive identification Parameter estimation Multirate system Hierarchical identification principle Least squares Dual-rate system Performance evaluation Input output Sampled system Recursivity Covariance matrix Recursive algorithm Modeling Lift Inverse matrix Efficiency Least squares method Recursive method Performance analysis System identification Recursive estimation
ISSN:	0005-1098, 1873-2836
Online-Zugang:	Volltext
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