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Weixing Zheng1,Tianshi Chen2,Chengpu Yu3,Wenxiao Zhao4.[en_title][J].Control Theory and Technology,2024,22(2):147~148.[Copy]
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Editorial
WeixingZheng1,TianshiChen2,ChengpuYu3,WenxiaoZhao4
0
(1 Western Sydney University, Sydney, Australia;2 The Chinese University of Hong Kong, Shenzhen, China;3 Beijing Institute of Technology, Beijing, China;4 The Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China)
摘要:
It is our great pleasure and honor to organize this special issue “System Identification and Estimation”. System identification has been a surprisingly lively and resilient area of research in the control community for many years. It grew out of statisticians’ interest in time series analysis beginning in the 1940s and became a “regular control topic” in the 1960s, as indicated by the first IFAC Symposium on System Identification held in Prague, Czech Republic, in 1967. Sixty years later, it is still an important area of research in the field of control. It is relevant to ask why the interest in system identification has remained so intense. One answer might be that more and more applications in engineering require mathematical models and the combined use of system identification and physical modeling is the basic way to obtain reliable models. This special issue is focusing on the latest development, trends, and novel methods for system identification and estimation and these contributions will give interesting and inspiring insights into the current status of the area. There are 16 papers collected in this special issue....
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DOI:https://doi.org/10.1007/s11768-024-00217-7
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Editorial
Weixing Zheng1,Tianshi Chen2,Chengpu Yu3,Wenxiao Zhao4
(1 Western Sydney University, Sydney, Australia;2 The Chinese University of Hong Kong, Shenzhen, China;3 Beijing Institute of Technology, Beijing, China;4 The Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China)
Abstract:
It is our great pleasure and honor to organize this special issue “System Identification and Estimation”. System identification has been a surprisingly lively and resilient area of research in the control community for many years. It grew out of statisticians’ interest in time series analysis beginning in the 1940s and became a “regular control topic” in the 1960s, as indicated by the first IFAC Symposium on System Identification held in Prague, Czech Republic, in 1967. Sixty years later, it is still an important area of research in the field of control. It is relevant to ask why the interest in system identification has remained so intense. One answer might be that more and more applications in engineering require mathematical models and the combined use of system identification and physical modeling is the basic way to obtain reliable models. This special issue is focusing on the latest development, trends, and novel methods for system identification and estimation and these contributions will give interesting and inspiring insights into the current status of the area. There are 16 papers collected in this special issue....
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