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Time-sequence Action-Decision and Navigation Through Stage Deep Reinforcement Learning in Complex Dynamic Environments 会议论文
, 厦门, 2019.12
作者:  Huimu, Wang;  Tenghai, Qiu;  Zhen, Liu;  Zhiqiang, Pu;  Jianqiang, Yi;  Zhaoyang, Liu
Adobe PDF(2178Kb)  |  收藏  |  浏览/下载：189/56  |  提交时间：2021/06/24
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：225/83  |  提交时间：2020/07/08
Formation Control with Collision Avoidance through Deep Reinforcement Learning 会议论文
, Budapest, Hungary, Hungary, July 14-19, 2019
作者:  Sui Zezhi;  Pu Zhiqiang;  Yi Jianqiang;  Xiong Tianyi
浏览  |  Adobe PDF(2431Kb)  |  收藏  |  浏览/下载：237/78  |  提交时间：2020/07/08
Autonomous Navigation with Improved Hierarchical Neural Network Based on Deep Reinforcement Learning 会议论文
, 中国 广州, 2019.07.27-2019.07.30
作者:  Zhang, Haiying;  Qiu, Tenghai;  Li, Shuxiao;  Zhu, Chengfei;  Lan, Xiaosong;  Chang, Hongxing
浏览  |  Adobe PDF(349Kb)  |  收藏  |  浏览/下载：300/96  |  提交时间：2020/06/09
Autonomous Navigation  DDPG  Improved Hierarchical Neural Network  Curriculum Learning  
数字孪生与平行系统: 发展现状、对比及展望 期刊论文
自动化学报, 2019, 卷号: 45, 期号: 11, 页码: 2001-2031
作者:  杨林瑶;  陈思远;  王晓;  张俊;  王成红
Adobe PDF(13977Kb)  |  收藏  |  浏览/下载：1008/490  |  提交时间：2020/03/17
 数字孪生, 平行系统, 复杂系统管理与控制, 人工智能, 虚实交互  
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
浏览  |  Adobe PDF(548Kb)  |  收藏  |  浏览/下载：358/122  |  提交时间：2019/05/07
Formation Control  Minimal Learning Parameter  Multi-agent System  Neural Network  
A Survey of the Research Status of Pedestrian Dead Reckoning Systems Based on Inertial Sensors 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 1, 页码: 65-83
作者:  Wu, Yuan;  Zhu, Haibing;  Du, Qingxiu;  Tang, Shuming
浏览  |  Adobe PDF(989Kb)  |  收藏  |  浏览/下载：487/213  |  提交时间：2019/05/04
Inertial Measurement Unit (Imu)  Pedestrian Dead-reckoning  Indoor Navigation  Technical Route  General Framework