Nonlinear System Identification Using Quasi-ARX RBFN Models with a Parameter-Classified Scheme
Quasi-linear autoregressive with exogenous inputs (Quasi-ARX) models have received considerable attention for their usefulness in nonlinear system identification and control. In this paper, identification methods of quasi-ARX type models are reviewed and categorized in three main groups, and a two-s...
Saved in:
Main Authors: | Lan Wang, Yu Cheng, Jinglu Hu, Jinling Liang, Abdullah M. Dobaie |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2017-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2017/8197602 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Unsteady Aerodynamic Modeling Based on POD-ARX
by: Xiaopeng Wang, et al.
Published: (2018-01-01) -
Event-Triggered-Based External Consensus Protocol of RBF-ARX-Model-Based Networked Multiagent Systems with Nonlinear Dynamics and Communication Delays
by: Qi Lei, et al.
Published: (2021-01-01) -
On the existence of solutions of the system of nonlinear quasi-mixed equilibrium problems and their stability of the procedure scheme
by: Satit Saejung
Published: (2025-01-01) -
Free-Decay Nonlinear System Identification via Mass-Change Scheme
by: Dario Anastasio, et al.
Published: (2019-01-01) -
On quasi-integrable deformation scheme of the KdV system
by: Kumar Abhinav, et al.
Published: (2025-01-01)