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CASIA OpenIR
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A Hybrid Multiagent Collision Avoidance Method for Formation Control 会议论文
, Shenyang, China, Aug. 8-11, 2019
作者:  Sui Zezhi;  Pu Zhiqiang;  Yi Jianqiang;  Xiong Tianyi
浏览  |  Adobe PDF(776Kb)  |  收藏  |  浏览/下载：205/77  |  提交时间：2020/07/08
A hybrid formation control design for multi-robot system with obstacle avoidance 会议论文
, Guangzhou, July 27-30
作者:  Wu Shiguang;  Sui Zezhi;  Yi Jianqiang;  Pu Zhiqiang
Adobe PDF(751Kb)  |  收藏  |  浏览/下载：135/47  |  提交时间：2022/06/16
Conditional disturbance negation based active disturbance rejection control for hypersonic vehicles 期刊论文
CONTROL ENGINEERING PRACTICE, 2019, 卷号: 84, 期号: 0, 页码: 159-171
作者:  Sun, Jinlin;  Pu, Zhiqiang;  Yi, Jianqiang
Adobe PDF(2009Kb)  |  收藏  |  浏览/下载：283/0  |  提交时间：2019/07/12
Active disturbance rejection control  Conditional disturbance negation  Disturbance characterization indicator  
Augmented fixed-time observer-based continuous robust control for hypersonic vehicles with measurement noises 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2019, 卷号: 13, 期号: 3, 页码: 422-433
作者:  Sun, Jinlin;  Yi, Jianqiang;  Pu, Zhiqiang
Adobe PDF(2180Kb)  |  收藏  |  浏览/下载：268/0  |  提交时间：2019/07/12
sliding mode control  finite-time control  state observer  measurement noises  
State-Estimator-Integrated Robust Adaptive Tracking Control for Flexible Air-Breathing Hypersonic Vehicle With Noisy Measurements 期刊论文
IEEE Transactions on Instrumentation and Measurement, 2019, 卷号: XX, 期号: Early Access, 页码: XX
作者:  Tao Xinlong;  Yi Jianqiang;  Pu Zhiqiang;  Xiong Tianyi
浏览  |  Adobe PDF(1301Kb)  |  收藏  |  浏览/下载：284/92  |  提交时间：2019/05/07
Hypersonic Vehicle  Measurement Noises  Robust Control  State Estimator  Type-2 Fuzzy Logic System  
Adaptive Neural Network Time-varying Formation Tracking Control for Multi-agent Systems via Minimal Learning Parameter Approach 会议论文
, Budapest, Hungary, July 14-19, 2019
作者:  Xiong Tianyi;  Pu Zhiqiang;  Yi Jianqiang;  Sui Zezhi
Adobe PDF(548Kb)  |  收藏  |  浏览/下载：336/113  |  提交时间：2019/05/07
Formation Control  Minimal Learning Parameter  Multi-agent System  Neural Network