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

• 主要な著者: Sutrisno, Imam, Jami'in, Mohammad Abu, Hu, Jinglu, Marhaban, Mohammad Hamiruce
• フォーマット: 論文
• 言語: English
• 出版事項: The Society of Instrument and Control Engineers 2016
• オンライン･アクセス: http://psasir.upm.edu.my/id/eprint/34850/1/A%20self-organizing%20quasi-linear%20ARX%20RBFN%20model%20for%20nonlinear%20dynamical%20systems%20identification.pdf; http://psasir.upm.edu.my/id/eprint/34850/; https://www.jstage.jst.go.jp/article/jcmsi/9/2/9_70/_article

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...