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Recursive robust least squares estimator for time-varying linear systems with a noise corrupted measurement matrix

Author
RA, W. S1 ; WHANG, I. H2 ; AHN, J. Y2 ; PARK, J. B1
[1] Department of Electrical and Electronic Engineering, Yonsei University, 134 Shinchon, Seodaemun-gu, Seoul 120-749, Korea, Republic of
[2] Department of Guidance and Control, Agency for Defense Development, PO Box 35-3, Yuseong-gu, Taejon 305-600, Korea, Republic of
Source

IET control theory & applications (Print). 2007, Vol 1, Num 1, pp 104-112, 9 p ; ref : 23 ref

ISSN
1751-8644
Scientific domain
Control theory, operational research
Publisher
Institution of engineering and technology, Stevenage
Publication country
United Kingdom
Document type
Article
Language
English
Keyword (fr)
Algorithme récursif Analyse statistique Approche probabiliste Commande sous optimale Correction erreur Corrélation Erreur systématique Estimation erreur Facteur échelle Filtre Kalman Méthode moindre carré Méthode récursive Observateur Problème direct Système incertain Système paramètre variable
Keyword (en)
Recursive algorithm Statistical analysis Probabilistic approach Suboptimal control Error correction Correlation Bias Error estimation Scale factor Kalman filter Least squares method Recursive method Observer Direct problem Uncertain system Time varying system
Keyword (es)
Algoritmo recursivo Análisis estadístico Enfoque probabilista Control subóptimo Corrección error Correlación Error sistemático Estimación error Factor escala Filtro Kalman Método cuadrado menor Método recursivo Observador Problema directo Sistema incierto Sistema parámetro variable
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02D Control theory. Systems / 001D02D05 Modelling and identification

Discipline
Computer science : theoretical automation and systems
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
18566360

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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