计算机科学
估计理论
控制理论(社会学)
估计员
非线性系统
算法
数学
信号(编程语言)
估计
信号处理
系统标识
作者
Xinjian Zhu,Feng Li,Chenghao Li,Li Jia,Qingfeng Cao
出处
期刊:2021 IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS)
日期:2021-05-14
卷期号:: 1285-1290
标识
DOI:10.1109/ddcls52934.2021.9455525
摘要
A parameter estimation method based on multi-signal processing is developed that aims at the Hammerstein output error model in this paper. The multi-signal processing is devised to estimate independently parameters of nonlinear block and linear block for Hammerstein output error model. Firstly, using input-output data of binary signal, the linear block parameters are computed by means of auxiliary model recursive least square method, the unmeasurable variables of the Hammerstein model are effectively handled using auxiliary model technology. In addition, model error probability density function technology is applied to estimate parameters of nonlinear block measurable input-output data of random signal, which not only can control space state distribution of model error, but also make error distribution tend to normal distribution. The results verify that proposed parameter estimation method can effectively estimate the Hammerstein output error model.
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