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中文
Wang Zhelong

Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates


Academic Titles:Professor, Head of Lab of Intelligent System
Other Post:自动化技术研究所所长
Gender:Male
Alma Mater:University of Durham
Degree:Doctoral Degree
School/Department:School of Control Science and Engineering
Discipline:Control Theory and Control Engineering
Pattern Recognition and Intelligence System
Detection Technology and Automation Device
Business Address:Lab of Intelligent System
http://lis.dlut.edu.cn/
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Current position: 英文主页 >> Scientific Research >> Paper Publications
Nonlinear system identification based on genetic algorithm and grey function

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Indexed by:Conference Paper

Date of Publication:2007-08-18

Included Journals:Scopus、CPCI-S、EI

Page Number:1741-1744

Key Words:genetic algorithm; nonlinear system; grey function

Abstract:The paper presents a method for the identification of nonlinear system parameters by using an improved Genetic Algorithm and Grey Function. The paper firstly outlines several commonly used nonlinear identification methods such as RLS, RIV and COR and also their drawbacks. Then, a method based on the Genetic Algorithm and Grey Function is proposed and given in detail in the paper. Finally, a simulation experiment to TV set production data of an electronic factory was carried out. The simulations show that the method can gain good results and is also simple and effective.

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