Recursive system identification method from binary input/output measurements

被引：0
|
作者：
Oualla, Hicham [1 ]
Pouliquen, Mathieu [1 ]
Frikel, Miloud [1 ]
Safi, Said [2 ]
机构：
[1] Normandie Univ, UNICAEN, ENSICAEN, LIS, F-14000 Caen, France
[2] Univ Sultan Moulay Slimane, Dept Math & Informat, Beni Mellal, Morocco
来源：
ASIAN JOURNAL OF CONTROL | 2023年 / 25卷 / 06期
关键词：
binary input; output measurements; identification; FIR SYSTEMS; PARAMETER-ESTIMATION; LINEAR-SYSTEMS; VALUED OUTPUTS; INPUT;
D O I：
10.1002/asjc.3150
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents two online identification algorithms of finite impulse response (FIR) systems using binary measurements both on the input and on the output. These algorithms are based on the least mean square (LMS) technique and on the estimation of the correlation functions of the input and output from binary data. Note that the second algorithm is a simplified version of the first one in the case of a white noise on the input. The convergence and variance analyses are provided. A numerical example is given to demonstrate the effectiveness of the proposed algorithms.
引用
收藏
页码：4147 / 4158
页数：12
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