On dynamic regressor extension and mixing parameter estimators: Two Luenberger observers interpretations - Archive ouverte HAL Access content directly
Journal Articles Automatica Year : 2018

On dynamic regressor extension and mixing parameter estimators: Two Luenberger observers interpretations

(1) , (2) , (3, 4, 5) , ,
1
2
3
4
5
Roméo Ortega
  • Function : Author
  • PersonId : 848065
Laboratoire des signaux et systèmes
Laurent Praly
  • Function : Author
Centre Automatique et Systèmes
Stanislav Aranovskiy
Institut d'Électronique et des Technologies du numéRique
CentraleSupélec
ITMO University [Russia]
CV
B. Yi
  • Function : Author
W. Zhang

Domains

Computer Science [cs] Automatic Control Engineering Engineering Sciences [physics] Automatic

Myriam Baverel  : Connect in order to contact the contributor

https://hal-centralesupelec.archives-ouvertes.fr/hal-01817817

Submitted on : Monday, June 18, 2018-2:02:38 PM

Last modification on : Saturday, October 22, 2022-5:11:29 AM

Not file

Dates and versions

hal-01817817 , version 1 (18-06-2018)

Identifiers

Cite

Roméo Ortega, Laurent Praly, Stanislav Aranovskiy, B. Yi, W. Zhang. On dynamic regressor extension and mixing parameter estimators: Two Luenberger observers interpretations. Automatica, 2018, 95, pp.548-551. ⟨10.1016/j.automatica.2018.06.011⟩. ⟨hal-01817817⟩

Export

BibTeX TEI Dublin Core DC Terms EndNote Datacite

Collections

UNIV-NANTES INSTITUT-TELECOM ENSMP UNIV-RENNES1 CNRS INSA-RENNES IETR SUP_LSS SUP_IETR ENSMP_CAS PARISTECH SUP_SYSTEMES CENTRALESUPELEC TDS-MACS PSL UR1-MATH-STIC UR1-UFR-ISTIC IETR-AUT UNIV-RENNES INSA-GROUPE ENSMP_DR UR1-MATH-NUM GS-ENGINEERING GS-COMPUTER-SCIENCE NANTES-UNIVERSITE
162 View
0 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More