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Robust Object Tracking via Information Theoretic Measures 期刊论文
International Journal of Automation and Computing, 2020, 期号: 17, 页码: 1
作者:  Wang, Weining;  Li, Qi;  Wang, Liang
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Object tracking, information theoretic measures, correntropy, template update, robust to complex noises  
Research on End-force Output of 8-cable Driven Parallel Manipulator 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 3, 页码: 378-389
作者:  Sen-Hao Hou;  Xiao-Qiang Tang;  Ling Cao;  Zhi-Wei Cui;  Hai-Ning Sun;  Ying-Wei Yan
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Cable driven parallel manipulators  low gravity environment  end-force output  cable force control  mix control strategy.  
Robust Object Tracking via Information Theoretic Measures 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 5, 页码: 652-666
作者:  Wei-Ning Wang;  Qi Li;  Liang Wang
Adobe PDF(1855Kb)  |  收藏  |  浏览/下载:144/14  |  提交时间:2021/02/22
Object tracking  information theoretic measures  correntropy  template update  robust to complex noises.  
Predictive Adaptive Kalman Filter and Its Application to INS/UWB-integrated Human Localization with Missing UWB-based Measurements 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 604-613
作者:  Yuan Xu;  Tao Shen;  Xi-Yuan Chen;  Li-Li Bu;  Ning Feng
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Indoor human localization  tightly-coupled model  predictive filtering  Kalman filter  missing data.