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Least-Squares Based and Gradient Based Iterative Parameter Estimation Algorithms for a Class of Linear-in-Parameters Multiple-Input Single-Output Output Error Systems
Joint Authors
Wang, Cheng
Tang, Tao
Chen, Dewang
Source
Journal of Applied Mathematics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-12
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
The identification of a class of linear-in-parameters multiple-input single-output systems is considered.
By using the iterative search, a least-squares based iterative algorithm and a gradient based iterative algorithm are proposed.
A nonlinear example is used to verify the effectiveness of the algorithms, and the simulation results show that the least-squares based iterative algorithm can produce more accurate parameter estimates than the gradient based iterative algorithm.
American Psychological Association (APA)
Wang, Cheng& Tang, Tao& Chen, Dewang. 2014. Least-Squares Based and Gradient Based Iterative Parameter Estimation Algorithms for a Class of Linear-in-Parameters Multiple-Input Single-Output Output Error Systems. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-489380
Modern Language Association (MLA)
Wang, Cheng…[et al.]. Least-Squares Based and Gradient Based Iterative Parameter Estimation Algorithms for a Class of Linear-in-Parameters Multiple-Input Single-Output Output Error Systems. Journal of Applied Mathematics No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-489380
American Medical Association (AMA)
Wang, Cheng& Tang, Tao& Chen, Dewang. Least-Squares Based and Gradient Based Iterative Parameter Estimation Algorithms for a Class of Linear-in-Parameters Multiple-Input Single-Output Output Error Systems. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-489380
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-489380