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- Title
Filtering‐based recursive least squares estimation approaches for multivariate equation‐error systems by using the multiinnovation theory.
- Authors
Ma, Ping; Wang, Lei
- Abstract
Summary: This article researches the filtering‐based parameter estimation issues for a class of multivariate control systems with colored noise. A filtering‐based recursive generalized extended least squares algorithm is derived, in which the data filtering technique is used for transforming the original system into two subidentification systems and the least squares principle is used for estimating parameters of these two subsystems. Furthermore, in order to improve the parameter estimation accuracy, the multiinnovation theory is added for deducing a filtering‐based multiinnovation recursive generalized extended least squares algorithm. The numerical example confirms that these two proposed algorithms are effective.
- Subjects
KALMAN filtering; LEAST squares; PARAMETER estimation; ALGORITHMS
- Publication
International Journal of Adaptive Control & Signal Processing, 2021, Vol 35, Issue 9, p1898
- ISSN
0890-6327
- Publication type
Article
- DOI
10.1002/acs.3302