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系统辨识(1):辨识导引
引用本文:丁峰.系统辨识(1):辨识导引[J].南京信息工程大学学报,2011,3(1):1-22.
作者姓名:丁峰
作者单位:江南大学,物联网工程学院,无锡,214122
基金项目:资助项目国家自然科学基金
摘    要:系统辨识是研究建立系统数学模型的理论与方法.虽然数学建模有很长的研究历史,但是形成系统辨识学科的历史才几十年.在这短暂的几十年里,系统辨识得到了长足的发展,一些新的辨识方法相继问世,其理论与应用成果覆盖了自然科学和社会科学的各个领域,包括物理学、生物学、地球科学、气象学、计算机科学、经济学、心理学、政治学等.在这样的背...

关 键 词:系统辨识  递推辨识  参数估计  辅助模型辨识  多新息辨识  递阶辨识
收稿时间:2011/1/11 0:00:00

System identifcation.Part A:Introduction to the identification
Ding Feng.System identifcation.Part A:Introduction to the identification[J].Journal of Nanjing University of Information Science & Technology,2011,3(1):1-22.
Authors:Ding Feng
Affiliation:School of Internet of Things Engineering,Jiangnan
Abstract:System identification is the theory and methods of establishing mathematical models of systems.The mathematical modeling has a long research history,but the system identification discipline has only several tens of years.In this short decades,system identification has achieved great developments,new identification methods are born one after another,and the research results cover the theory and applications of natural science and social sciences,including physics,biology,earth science,meteorology,computer science,economics,psychology,political science and so on.In this context,we come back to ponder some basic problems of system identification,which is not without benefits for the development of system identification.This is a paper of an introduction to system identification which briefly introduces the definition of identification,system models and identification models,the basic steps and purposes of identification,including the experimental design of identification and data preprocessing,and the types of identification methods,including the least squares identification methods,gradient identification methods,auxiliary model based identification methods,and multi innovation identification methods,and hierarchical identification methods,etc
Keywords:system identification  recursive identification  parameter estimation  auxiliary model based identification  multi innovation identification  hierarchical identification
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