Application of Genetic Algorithms in Identification ofLinear Time-Varying System

作     者：Zhichun Mu KeLiu Zichao Wang Datai Yu D. Koshal D. Pearce Information Engineering School, University of Science & Technology Beijing, Beijing 100083, China School of Engineering, University of Brighton, Brighton, UK 

作者机构：Univ Sci & Technol Beijing Informat Engn Sch Beijing 100083 Peoples R China Brighton Univ Sch Engn Brighton E Sussex England 

出 版 物：《International Journal of Minerals,Metallurgy and Materials》 (矿物冶金与材料学报（英文版）)

年 卷 期：2000年第14卷第1期

页      面：58-62页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：the British Council for their ALCS project sponsorship 

主　　题：genetic algorithm, system identification linear system 

摘      要：By applying genetic algorithms (GA) to on-line identification of linear time-varying systems; a number of modifications are made to the Simple Genetic Algorithm to improve the performance of the algorithm in identification applications. The simulation results indicate that the method is not only capable of following the changing parameters of the system, but also has improved the identification accuracy compared with that using the least square method.