Least squares-based iterative identification methods for linear-in-parameters systems using the decomposition technique
Wang, Feifei and Liu, Yanjun and Yang, Erfu (2016) Least squares-based iterative identification methods for linear-in-parameters systems using the decomposition technique. Circuits, Systems, and Signal Processing. pp. 1-19. ISSN 1531-5878 (https://doi.org/10.1007/s00034-015-0232-0)
Preview |
Text.
Filename: Wang_Liu_Yang_CSSP2016_Least_squares_based_iterative_identification_methods_for_linear_in_parameters.pdf
Accepted Author Manuscript Download (250kB)| Preview |
Abstract
By extending the least squares-based iterative (LSI) method, this paper presents a decomposition-based LSI (D-LSI) algorithm for identifying linear-in-parameters systems and an interval-varying D-LSI algorithm for handling the identification problems of missing-data systems. The basic idea is to apply the hierarchical identification principle to decompose the original system into two fictitious sub-systems and then to derive new iterative algorithms to estimate the parameters of each sub-system. Compared with the LSI algorithm and the interval-varying LSI algorithm, the decomposition-based iterative algorithms have less computational load. The numerical simulation results demonstrate that the proposed algorithms work quite well.
ORCID iDs
Wang, Feifei, Liu, Yanjun and Yang, Erfu ORCID: https://orcid.org/0000-0003-1813-5950;-
-
Item type: Article ID code: 56593 Dates: DateEvent6 January 2016Published6 January 2016Published Online17 December 2015AcceptedNotes: The final publication is available at Springer via http://link.springer.com/article/10.1007%2Fs00034-015-0232-0 Subjects: Technology > Engineering (General). Civil engineering (General) Department: Faculty of Engineering > Design, Manufacture and Engineering Management Depositing user: Pure Administrator Date deposited: 03 Jun 2016 10:41 Last modified: 15 Sep 2024 00:47 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/56593