Adaptive modelling of non-linear errors-in-variables systems

作     者：Li, Yuan Qin, Zheng Shan, Laixiang 

作者机构：Tsinghua Univ Sch Software Beijing 100084 Peoples R China 

出 版 物：《INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY》 (国际计算机在技术中的应用杂志)

年 卷 期：2016年第53卷第1期

页      面：71-81页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：errors-in-variables system adaptive modelling non-linear EIV modelling Wiener model recursive algorithm 

摘      要：This paper discusses the adaptive modelling algorithm of the non-linear Errors-in-Variables (EIV) system. The non-linear EIV model is designed as a Wiener model with noisy input and noisy output measurements. The model consists of a moving average model linear subsystem and a piece-wise linear function as the non-linear subsystem. In order to ensure the online real-time updating of system parameters, the recursive form is designed for the algorithm to keep its adaptive properties and improve the parameters identification efficiency. The derivation process of the algorithm ensures the recursive calculation results converge to their corresponding true values. The validity and convergence of the algorithm is confirmed by a simulation experiment with the help of Matlab.