Please use this identifier to cite or link to this item:
https://open.uns.ac.rs/handle/123456789/13615
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Radenkovic M. | en |
dc.date.accessioned | 2020-03-03T14:53:02Z | - |
dc.date.available | 2020-03-03T14:53:02Z | - |
dc.date.issued | 1990-05-01 | en |
dc.identifier.issn | 00189286 | en |
dc.identifier.uri | https://open.uns.ac.rs/handle/123456789/13615 | - |
dc.description.abstract | Self-tuning servo control based on a nonmodified least-squares algorithm is considered. The fundamental result of the analysis is that the passivity of the two time-varying operators depending on the noise process dynamics, regression vector, and the ponderation matrix sequence of the algorithm is essential for the global stability of the self-tuning regulator. The methodology can be applied to problems of adaptive prediction based on a nonmodified least-squares algorithm and system parameter identification by a least-squares algorithm with a priori prediction. | en |
dc.relation.ispartof | IEEE Transactions on Automatic Control | en |
dc.title | On the convergence of the self-tuning algorithms based on nonmodified least-squares | en |
dc.type | Journal/Magazine Article | en |
dc.identifier.doi | 10.1109/9.53513 | en |
dc.identifier.scopus | 2-s2.0-0025429850 | en |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/0025429850 | en |
dc.relation.lastpage | 633 | en |
dc.relation.firstpage | 628 | en |
dc.relation.issue | 5 | en |
dc.relation.volume | 35 | en |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
Appears in Collections: | Naučne i umetničke publikacije |
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