A Modification on Stochastic Approximation Algorithm with Expanding Truncations For Estimation of NARX Systems

被引：0
|
作者：
Sepahvand, Shayan [1 ]
Abedi, Mostafa [2 ]
Pourgholi, Mahdi [2 ]
机构：
[1] Shahid Beheshti Univ, Dept Control Engn, Control Engn, Tehran, Iran
[2] Shahid Beheshti Univ, Dept Control Engn, Tehran, Iran
来源：
2019 27TH IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE 2019) | 2019年
关键词：
Kernel functions; NARX systems; fuzzy set; modified stochastic approximation; nonparametric nonlinear system; IDENTIFICATION;
D O I：
10.1109/iraniancee.2019.8786563
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, nonparametric identification for nonlinear autoregressive systems with exogenous inputs (NARX) is considered. In order to provide the identification of the nonlinear system, a recursive stochastic approximation algorithm with adaptive thresholds with fuzzy observations (modified SAAWET) is used. The effectiveness of the proposed method is proven through implementation of algorithm on two systems. It will be figured out that the proposed algorithm will result in better estimation and robustness in comparison to conventional SAAWET.
引用
收藏
页码：925 / 928
页数：4
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