Least-Squares Based and Gradient Based Iterative Parameter Estimation Algorithms for a Class of Linear-in-Parameters Multiple-Input Single-Output Output Error Systems
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 alg...
Saved in:
Main Authors: | Cheng Wang, Tao Tang, Dewang Chen |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2014-01-01
|
Series: | Journal of Applied Mathematics |
Online Access: | http://dx.doi.org/10.1155/2014/673197 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Least-Squares Parameter Estimation Algorithm for a Class of Input Nonlinear Systems
by: Weili Xiong, et al.
Published: (2012-01-01) -
Data Filtering Based Recursive Least Squares Algorithm for Two-Input Single-Output Systems with Moving Average Noises
by: Xianling Lu, et al.
Published: (2014-01-01) -
Transmitter and receiver design for integrated full‐duplex multiple‐input‐multiple‐output communication and multiple‐input‐multiple‐output radar system
by: Shengnan Shi, et al.
Published: (2022-09-01) -
Flight Path Reconstruction and Parameter Estimation Using Output-Error Method
by: Benedito Carlos de Oliveira Maciel, et al.
Published: (2006-01-01) -
A novel signal detection algorithm of multiple-input multiple-output Vertical-Bell Laboratories Layered Space-Time for underwater acoustic networks based on the improved minimum mean square error
by: Gaoli Zhao, et al.
Published: (2020-12-01)