A self-organizing quasi-linear ARX RBFN model for nonlinear dynamical systems identification
The quasi-linear ARX radial basis function network (RBFN) model has shown good approximation ability and usefulness in nonlinear system identification and control. It has an easy-to-use structure, good generalization and strong tolerance to input noise. In this paper, we propose a self-organizing qu...
Main Authors: | Sutrisno, Imam, Jami'in, Mohammad Abu, Hu, Jinglu, Marhaban, Mohammad Hamiruce |
---|---|
Format: | Article |
Language: | English |
Published: |
The Society of Instrument and Control Engineers
2016
|
Online Access: | http://psasir.upm.edu.my/id/eprint/34850/1/A%20self-organizing%20quasi-linear%20ARX%20RBFN%20model%20for%20nonlinear%20dynamical%20systems%20identification.pdf |
Similar Items
-
Nonlinear model-predictive control based on quasi-ARX radial-basis function-neural-network
by: Sutrisno, Imam, et al.
Published: (2014) -
An adaptive predictive control based on a quasi-ARX neural network model
by: Abu Jami’in, Mohammad, et al.
Published: (2014) -
Linear ARX modelling of pneumatic actuator system
by: Khong, F. H., et al.
Published: (2022) -
Comparative study between ARX and ARMAX system identification
by: Piltan, Farzin, et al.
Published: (2017) -
Heart sound diagnosis using nonlinear ARX model / Noraishah Shamsuddin
by: Shamsuddin, Noraishah
Published: (2011)