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Disturbance observer–based supertwisting sliding mode control for formation tracking of multi-agent mobile robots 期刊论文
Measurement and Control, 2020, 卷号: 53, 期号: 5-6, 页码: 908-921
作者:  张桂刚
浏览  |  Adobe PDF(2019Kb)  |  收藏  |  浏览/下载:220/62  |  提交时间:2020/11/09
Mobile robots, formation control, super-twisting sliding mode control, uncertainties, disturbance observer  
Graph-based neural networks for explainable image privacy inference 期刊论文
PATTERN RECOGNITION, 2020, 卷号: 105, 期号: 0, 页码: 12
作者:  Yang, Guang;  Cao, Juan;  Chen, Zhineng;  Guo, Junbo;  Li, Jintao
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Image privacy protection  Graph neural networks  Image classification  
Disturbance observer-based super-twisting sliding mode control for formation tracking of multi-agent mobile robots 期刊论文
MEASUREMENT & CONTROL, 2020, 卷号: 53, 期号: 5-6, 页码: 908-921
作者:  Zhang, Guigang;  Wang, Yun;  Wang, Jian;  Chen, Jiarong;  Qian, Dianwei
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Mobile robots  formation control  super-twisting sliding mode control  uncertainties  disturbance observer