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题名: A mechanical vibration identification method for sub-Nyquist sampling based on ESPRIT-like algorithm
作者: Chen P(陈鹏) ; Liu SJ(刘双军) ; Cui L(崔龙) ; Li HY(李洪谊)
作者部门: 机器人学研究室
会议名称: 11th IEEE International Conference on Control and Automation, IEEE ICCA 2014
会议日期: June 18-20, 2014
会议地点: Taichung, Taiwan
会议录: IEEE International Conference on Control and Automation, ICCA
会议录出版者: IEEE Computer Society
会议录出版地: Washington, DC
出版日期: 2014
页码: 1292-1297
收录类别: CPCI(ISTP) ; EI
ISSN号: 1948-3449
ISBN号: 9781479928378
关键词: Algorithms ; Eigenvalues and eigenfunctions ; Identification (control systems)
摘要: This paper proposes a mechanical vibration identification method for sub-Nyquist sampling in theory, through the study on the ESPRIT algorithm. Then the method is improved for the problems encountered in the practical application: the big computational amount of solving generalized eigenvalues, the aggravation of ill-condition brought by correlation matrices, the big errors of attenuation coefficients. The improved identification method can be used to practically identify the sub-Nyquist sampling of mechanical vibrations. And the vibration signal identified can be recovered accurately. The validity of the method is verified through the simulation. © 2014 IEEE.
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/15151
Appears in Collections:机器人学研究室_会议论文

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