Application of Genetic Algorithms in Identification ofLinear Time-Varying System

查看全文 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

出　　处：《International Journal of Minerals,Metallurgy and Materials》索引2000年第14卷第1期,共5页

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. 关键词：GENETIC algorithm, SYSTEM IDENTIFICATION LINEAR SYSTEM

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Application of Genetic Algorithms in Identification ofLinear Time-Varying System

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