A self-organizing quasi-linear ARX RBFN model for nonlinear dynamical systems identification

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...

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Bibliographic Details
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/
http://psasir.upm.edu.my/id/eprint/34850/1/A%20self-organizing%20quasi-linear%20ARX%20RBFN%20model%20for%20nonlinear%20dynamical%20systems%20identification.pdf

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