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题名Identification of linearized continuous-time models of mechanical systems from sampled data
作者
发表日期1993
发表期刊Computers in Industry
ISSN/eISSN0166-3615
卷号23期号:3页码:235-241
摘要

An important special problem arising from identification of the linearized continuous-time parametric model of a mechanical system is that all parameters of the model are not independently identifiable. The commonly encountered constraints on model parameters include the symmetry of the inertia matrix and some zero locations in the parameter matrices. In this paper, the identification problem of a linearized continuous-time model of a general n-DOF mechanical system with a priori information is formulated as parameter estimation problem with equation constraints, and a systematical method of solving such a problem is developed in the framework of the least squares equation error. A simplified method is further given which reduces the original problem into several subproblems of much lower dimensions, and is applied to the identification of a linearized continuous-time model of a planar robot manipulator for illustration. © 1993.

关键词Identification Linearized continuous-time model n-DOF mechanical system Parameter estimation problem Planar robot manipulator
DOI10.1016/0166-3615(93)90010-X
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收录类别SCIE
语种英语English
WOS研究方向Computer Science
WOS类目Computer Science, Interdisciplinary Applications
WOS记录号WOS:A1993MT99900009
Scopus入藏号2-s2.0-0027874824
引用统计
被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/3968
专题个人在本单位外知识产出
作者单位
Department of Electrical Engineering, National University of Singapore, Singapore, 0511, Singapore
推荐引用方式
GB/T 7714
Wang, Qingguo. Identification of linearized continuous-time models of mechanical systems from sampled data[J]. Computers in Industry, 1993, 23(3): 235-241.
APA Wang, Qingguo. (1993). Identification of linearized continuous-time models of mechanical systems from sampled data. Computers in Industry, 23(3), 235-241.
MLA Wang, Qingguo."Identification of linearized continuous-time models of mechanical systems from sampled data". Computers in Industry 23.3(1993): 235-241.
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