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作者:

Ruan, Xiaogang (Ruan, Xiaogang.) | Di, Haijiang (Di, Haijiang.) | Liu, Jiang (Liu, Jiang.)

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CPCI-S Scopus

摘要:

For the problem that there are many kinds of noises from sensors in the self-balancing robot, many kinds of filters are presented. Using different method, the noise can he filtered. Experimental results demonstrates that the extended Kalman filter is more effective than other filters.

关键词:

extended Kalman filter noise self-balancing robot sensor

作者机构:

  • [ 1 ] [Ruan, Xiaogang]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing 100022, Peoples R China
  • [ 2 ] [Di, Haijiang]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing 100022, Peoples R China
  • [ 3 ] [Liu, Jiang]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing 100022, Peoples R China

通讯作者信息:

  • [Ruan, Xiaogang]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing 100022, Peoples R China

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来源 :

2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23

年份: 2008

页码: 2614-2618

语种: 中文

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 1

ESI高被引论文在榜: 0 展开所有

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中文被引频次:

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