Harmonic regressor: Robust solution to least-squares problem

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Názov: Harmonic regressor: Robust solution to least-squares problem
Autori: Stotsky, Alexander, 1960
Zdroj: Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering. 227(8):662-668
Predmety: recursive inversion, Recursive least-squares algorithm, high-order algorithms, strictly diagonally dominant matrix, harmonic regressor
Popis: A new robust and computationally efficient solution to least-squares problem in the presence of round-off errors is proposed. The properties of a harmonic regressor are utilized for design of new combined algorithms of direct calculation of the parameter vector. In addition, an explicit transient bound for estimation error is derived for classical recursive least-squares algorithm using the Lyapunov function method. Different initialization techniques of the gain matrix are proposed as an extension of the recursive least-squares algorithm. All the results are illustrated by simulations.
Popis súboru: electronic
Prístupová URL adresa: https://research.chalmers.se/publication/188098
http://publications.lib.chalmers.se/records/fulltext/188098/local_188098.pdf
Databáza: SwePub
Popis
Abstrakt:A new robust and computationally efficient solution to least-squares problem in the presence of round-off errors is proposed. The properties of a harmonic regressor are utilized for design of new combined algorithms of direct calculation of the parameter vector. In addition, an explicit transient bound for estimation error is derived for classical recursive least-squares algorithm using the Lyapunov function method. Different initialization techniques of the gain matrix are proposed as an extension of the recursive least-squares algorithm. All the results are illustrated by simulations.
ISSN:20413041
09596518
DOI:10.1177/0959651813498873