Variable Step Size Least Mean Square Algorithm Based on Censored Regression

被引：5
|
作者：
Zhao, Feng [1 ]
Zhao, Haiquan [1 ]
机构：
[1] Southwest Jiaotong Univ, Key Lab Magnet Suspens Technol & Maglev Vehicle, Minist Educ, Sch Elect Engn, Chengdu 610031, Sichuan, Peoples R China
来源：
IFAC PAPERSONLINE | 2019年 / 52卷 / 24期
基金：
美国国家科学基金会;
关键词：
censored regression; Least Mean Square; variable step size; tongue-like curve;
D O I：
10.1016/j.ifacol.2019.12.386
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In numerous practical applications, the censored observations often occur. Using traditional adaptive algorithms to identify the system of this type may lead to the performance degradation. To address this problem, the distributed censored regression algorithms have been proposed. However, distributed Least Mean Square (D-LMS) based on censored regression has a slow convergence speed. To solve this problem, a variable step size LMS based on censored regression (CR-VSS-LMS) is proposed in this paper. Copyright (C) 2019. The Authors. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码：88 / 92
页数：5
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