Recursive system identification using delta models

Sysel, Martin; Bobál, Vladimír

dc.title	Recursive system identification using delta models	en
dc.contributor.author	Sysel, Martin
dc.contributor.author	Bobál, Vladimír
dc.relation.ispartof	Proceedings of the IASTED International Conference on Circuits, Signals, and Systems
dc.identifier.isbn	0-88986-351-2
dc.date.issued	2003
dc.citation.spage	264
dc.citation.epage	268
dc.event.title	Proceedings of the IASTED International Conference on Circuits, Signals and Systems
dc.event.location	Cancún
utb.event.state-en	Mexico
utb.event.state-cs	Mexiko
dc.event.sdate	2003-05-19
dc.event.edate	2003-05-21
dc.type	conferenceObject
dc.language.iso	en
dc.subject	Delta models	en
dc.subject	Identification	en
dc.subject	Recursive least squares	en
dc.description.abstract	Contribution presents delta models and their possibilities for recursive identification. It is discussed the usage of recursive identification for adaptive control. It shows several ways of identification based on modification of recursive least squares method. There are the individual methods of identification compared in simulation examples. Influence of the noise in the signal is described.	en
utb.faculty	Faculty of Technology
dc.identifier.uri	http://hdl.handle.net/10563/1005081
utb.identifier.rivid	RIV/70883521:28110/03:63501841!RIV/2004/MSM/281104/N
utb.identifier.obdid	11553336
utb.identifier.scopus	2-s2.0-1542316947
utb.source	d-scopus
dc.date.accessioned	2015-06-04T12:56:57Z
dc.date.available	2015-06-04T12:56:57Z
utb.contributor.internalauthor	Sysel, Martin
utb.contributor.internalauthor	Bobál, Vladimír