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...

Celý popis

Podrobná bibliografie

Vydáno v:	Journal of computational and applied mathematics Ročník 426; s. 115107
Hlavní autor:	Ding, Feng
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.07.2023
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!