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Multi-innovation stochastic gradient algorithm for multiple-input single-output systems using the auxiliary model

Author
YANJUN LIU1 ; YONGSONG XIAO1 ; XUELIANG ZHAO1
[1] School of Communication and Control Engineering, Jiangnan University, Wuxi 214122, China
Source

Applied mathematics and computation. 2009, Vol 215, Num 4, pp 1477-1483, 7 p ; ref : 26 ref

CODEN
AMHCBQ
ISSN
0096-3003
Scientific domain
Control theory, operational research; Computer science; Mathematics
Publisher
Elsevier, Amsterdam
Publication country
Netherlands
Document type
Article
Language
English
Author keyword
Auxiliary models Multi-innovation identification theory Multivariable systems Output error systems Parameter estimation Stochastic gradient
Keyword (fr)
Accélération convergence Algorithme Analyse numérique Estimation erreur Estimation paramètre Mathématiques appliquées Modèle stochastique Taux convergence 65B99
Keyword (en)
Convergence acceleration Algorithm Numerical analysis Error estimation Parameter estimation Applied mathematics Stochastic model Convergence rate
Keyword (es)
Aceleración convergencia Algoritmo Análisis numérico Estimación error Estimación parámetro Matemáticas aplicadas Modelo estocástico Relación convergencia
Classification
Pascal
001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02E Mathematical analysis

Pascal
001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02I Numerical analysis. Scientific computation / 001A02I01 Numerical analysis / 001A02I01B Acceleration of convergence

Discipline
Mathematics
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
22474407

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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