M-Decomposed Least Squares and Recursive Least Squares Identification Algorithms for Large-Scale Systems

Two M-decomposed based identification algorithms are proposed for large-scale systems in this study. Since the least squares algorithms involve matrix inversion calculation, they can be inefficient for large-scale systems whose information matrices are ill-conditioned. To overcome this difficulty, t...

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Vydané v:	IEEE access Ročník 9; s. 139466 - 139472
Hlavní autori:	Ji, Yuejiang, Lv, Lixin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms computational effort Convergence Decomposition large-scale system Large-scale systems Least squares M-decomposed least squares Mathematical analysis Mathematical model Matrix decomposition Parameter estimation Parameters sub-parameter-vector Symmetric matrices
ISSN:	2169-3536, 2169-3536
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