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Multi-Agent Reinforcement Learning for Extended Flexible Job Shop Scheduling 期刊论文
MACHINES, 2024, 卷号: 12, 期号: 1, 页码: 25
作者:  Peng, Shaoming;  Xiong, Gang;  Yang, Jing;  Shen, Zhen;  Tamir, Tariku Sinshaw;  Tao, Zhikun;  Han, Yunjun;  Wang, Fei-Yue
收藏  |  浏览/下载：58/0  |  提交时间：2024/03/13
production planning and scheduling  multi-agent reinforcement learning  flexible job shop  path flexibility  technological flexibility  
3D printing in materials manufacturing industry: A realm of Industry 4.0 期刊论文
HELIYON, 2023, 卷号: 9, 期号: 9, 页码: 20
作者:  Tamir, Tariku Sinshaw;  Xiong, Gang;  Shen, Zhen;  Leng, Jiewu;  Fang, Qihang;  Yang, Yong;  Jiang, Jingchao;  Lodhi, Ehtisham;  Wang, Fei-Yue
收藏  |  浏览/下载：79/0  |  提交时间：2024/02/21
3D printing  Additive manufacturing  Closed-loop control  Machine learning  Industry 4.0  
PCUNet: A Context-Aware Deep Network for Coarse-to-Fine Point Cloud Completion 期刊论文
IEEE Sensors Journal, 2022, 卷号: 22, 期号: 15, 页码: 15098-15110
作者:  Zhao, Meihua;  Xiong, Gang;  Zhou, MengChu;  Shen, Zhen;  Liu, Sheng;  Han, Yunjun;  Wang, Fei-Yue
Adobe PDF(4497Kb)  |  收藏  |  浏览/下载：136/23  |  提交时间：2023/06/27
Process Monitoring, Diagnosis and Control of Additive Manufacturing 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2022, 页码: 27
作者:  Fang, Qihang;  Xiong, Gang;  Zhou, MengChu;  Tamir, Tariku Sinshaw;  Yan, Chao-Bo;  Wu, Huaiyu;  Shen, Zhen;  Wang, Fei-Yue
收藏  |  浏览/下载：185/0  |  提交时间：2023/03/20
Additive manufacturing (AM)  in-situ monitoring  defect detection  fault diagnosis  closed-loop control  
平行机器人与平行无人系统: 框架、结构、过程、平台及其应用 期刊论文
自动化学报, 2017, 卷号: 43, 期号: 2, 页码: 161-175
作者:  白天翔;  王帅;  沈震;  曹东璞;  郑南宁;  王飞跃
Adobe PDF(5481Kb)  |  收藏  |  浏览/下载：148/30  |  提交时间：2022/07/04
平行系统及理论, 平行机器人, 软件定义机器人, 无人车, 无人机, 无人船  
Design and Optimization of a Control Framework for Robot Assisted Additive Manufacturing Based on the Stewart Platform 期刊论文
International Journal of Control, Automation and Systems, 2022, 卷号: 20, 期号: 3, 页码: 968-982
作者:  Tamir, Tariku Sinshaw;  Xiong,Gang;  Dong,Xisong;  Fang,Qihang;  Liu,Sheng;  Lodhi,Ehtisham;  Shen,Zhen;  Wang, Fei-Yue
Adobe PDF(3410Kb)  |  收藏  |  浏览/下载：370/172  |  提交时间：2022/04/07
Additive Manufacturing, Extended Proportion-Derivation Sliding Mode Controller, Grey Wolf Optimization, Print Quality, Stewart Platform  
The Combination of Two Control Strategies for Series Hybrid Electric Vehicles 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2019, 卷号: 6, 期号: 2, 页码: 596-608
作者:  Luo, Can;  Shen, Zhen;  Evangelou, Simos;  Xiong, Gang;  Wang, Fei-Yue
Adobe PDF(8306Kb)  |  收藏  |  浏览/下载：183/46  |  提交时间：2022/04/07
DC-Link Voltage Control, Power Follower Control Strategy, Series Hybrid Electric Vehicles, Tuning  
A Feedback-Based Print Quality Improving Strategy for FDM 3D Printing: An Optimal Design Approach 期刊论文
The International Journal of Advanced Manufacturing Technology, 2022, 期号: 2022, 页码: 1-15
作者:  Tamir, Tariku Sinshaw;  Xiong, Gang;  Fang,Qihang;  Dong,Xisong;  Shen,Zhen;  Wang,Fei-Yue
Adobe PDF(2116Kb)  |  收藏  |  浏览/下载：237/60  |  提交时间：2022/04/07
Industry4.0, 3D Printing, Print Quality, Error Causing Parameters, Deformations, Fuzzy Inference System  
Two-Level Energy Control Strategy Based on ADP and A-ECMS for Series Hybrid Electric Vehicles 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:  Shen, Zhen;  Luo, Can;  Dong, Xisong;  Lu, Wanze;  Lv, Yisheng;  Xiong, Gang;  Wang, Fei-Yue
收藏  |  浏览/下载：294/0  |  提交时间：2022/03/17
Hybrid electric vehicles  Fuels  Electronic countermeasures  Minimization  Mechanical power transmission  Optimization  Energy management  Adaptive dynamic programming  adaptive-equivalent consumption minimization strategy  hybrid electric vehicle  energy control  
3D-RVP: A method for 3D object reconstruction from a single depth view using voxel and point 期刊论文
NEUROCOMPUTING, 2021, 卷号: 430, 期号: 2021, 页码: 94-103
作者:  Zhao, Meihua;  Xiong, Gang;  Zhou, MengChu;  Shen, Zhen;  Wang, Fei-Yue
Adobe PDF(1476Kb)  |  收藏  |  浏览/下载：296/35  |  提交时间：2021/03/29
3D object reconstruction  Encoder-decoder network  Machine learning  Point prediction network