Joint input-output identification of unstable systems with kernel regularization
Yusuke Fujimoto1
Toshiharu Sugie2
1.Department of Environmental Engineering,the University of Kitakyushu,1-1,Hibikino,Wakamatsu-ku,Kitakyushu 8080135,Fukuoka,Japan2.Professor Emeritus,Kyoto University,Yoshida-Honmachi,Sakyo-ku,Kyoto 6068501,Kyoto,Japan
摘要：This paper discusses closed-loop identification of unstable systems.In particular,we first apply the joint input-output identifi-cation method and then convert the identification problem of unstable systems into that of stable systems,which can be tackled by using kernel-based regularization methods.We propose to identify two transfer functions by kernel regularization,the one from the reference signal to the input,and the one from the reference signal to the output.Since these transfer functions are stable,kernel regularization methods can construct their accurate models.Then the model of unstable system is constructed by ratio of these functions.The effectiveness of the proposed method is demonstrated by a numerical example and a practical experiment with a DC motor.
机标关键词：identificationsystemskerneljointwithinput-outputregularizationunstable
论文发表日期：2024-05-05
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：8( 195-202 )
英文信息