Least‐Squares Based and Gradient Based Iterative Parameter Estimation Algorithms for a Class of Linear‐in‐Parameters Multiple‐Input Single‐Output Output Error Systems
Cheng Wang,
Tao Tang and
Dewang Chen
Journal of Applied Mathematics, 2014, vol. 2014, issue 1
Abstract:
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.
Date: 2014
References: Add references at CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1155/2014/673197
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wly:jnljam:v:2014:y:2014:i:1:n:673197
Access Statistics for this article
More articles in Journal of Applied Mathematics from John Wiley & Sons
Bibliographic data for series maintained by Wiley Content Delivery ().