Least Squares Based Iterative Parameter Estimation for Output Nonlinear Systems with Piece-Wise Nonlinearities

被引：0
作者：
Chen Jing [1 ]
Zhang Yan [1 ]
Ding Feng [1 ]
机构：
[1] Wuxi Profess Coll Sci & Technol, Wuxi 214028, Peoples R China
来源：
2011 30TH CHINESE CONTROL CONFERENCE (CCC) | 2011年
关键词：
Saturation and Dead-zone; Least squares; Parameter estimation; Wiener model; SYLVESTER MATRIX EQUATIONS; IDENTIFICATION METHODS; PERFORMANCE ANALYSIS; LINEAR-SYSTEMS; WIENER SYSTEMS; ALGORITHMS;
D O I：
暂无
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 a least squares based iterative parameter estimation algorithm for a class of output nonlinear systems with piece-wise nonlinearities (also called Wiener systems with saturation and dead-zone nonlinearities). A Wiener nonlinear system can be transformed into a special quasi-linear model by using a decomposition technique. The proposed least squares algorithm can estimate all the parameters of the whole nonlinear systems from all the input-output data. An illustrative example is included.
引用
收藏
页码：1438 / 1441
页数：4
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