Least squares parameter estimation and multi-innovation least squares methods for linear fitting problems from noisy data

Least squares is an important method for solving linear fitting problems and quadratic optimization problems. This paper explores the properties of the least squares methods and the multi-innovation least squares methods. It demonstrates lemmas and theorems about the least squares and multi-innovati...

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Bibliographic Details

Published in:	Journal of computational and applied mathematics Vol. 426; p. 115107
Main Author:	Ding, Feng
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.07.2023
Subjects:	Least squares Least squares review Least squares survey Multi-innovation identification Parameter estimation System identification Least squares review Parameter estimation System identification Multi-innovation identification Least squares survey Least squares
ISSN:	0377-0427, 1879-1778
Online Access:	Get full text
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