Title
Least-Squares Based and Gradient Based Iterative Parameter Estimation Algorithms for a Class of Linear-in-Parameters Multiple-Input Single-Output Output Error Systems.
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.
Year
DOI
Venue
2014
10.1155/2014/673197
JOURNAL OF APPLIED MATHEMATICS
Field
DocType
Volume
Least squares,Gradient method,Mathematical optimization,Parameter estimation algorithm,Nonlinear system,Iterative search,Iterative method,Iterative proportional fitting,Generalized iterative scaling,Mathematics
Journal
2014
ISSN
Citations 
PageRank 
1110-757X
0
0.34
References 
Authors
45
3
Name
Order
Citations
PageRank
Wang Cheng110320.70
Tao Tang266478.90
Dewang Chen310912.44