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CASIA OpenIR
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Deep Reinforcement Learning or Lyapunov Analysis? A Preliminary Comparative Study on Event-Triggered Optimal Control 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 7, 页码: 1702-1704
作者:  Jingwei Lu;  Lefei Li;  Qinglai Wei;  Fei-Yue Wang
Adobe PDF(501Kb)  |  收藏  |  浏览/下载：30/11  |  提交时间：2024/06/07
问答ChatGPT之后:超大预训练模型的机遇和挑战 期刊论文
自动化学报, 2023, 卷号: 49, 期号: 4, 页码: 705-717
作者:  卢经纬;  郭超;  戴星原;  缪青海;  王兴霞;  杨静;  王飞跃
Adobe PDF(2118Kb)  |  收藏  |  浏览/下载：47/10  |  提交时间：2024/05/09
预训练模型  ChatGPT  Transformer  人工智能生成内容  平行智能  社会化大闭环  
Event-Triggered Deep Reinforcement Learning Using Parallel Control: A Case Study in Autonomous Driving 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 4, 页码: 2821-2831
作者:  Lu, Jingwei;  Han, Liyuan;  Wei, Qinglai;  Wang, Xiao;  Dai, Xingyuan;  Wang, Fei-Yue
收藏  |  浏览/下载：111/0  |  提交时间：2023/11/17
Autonomous vehicles  Decision making  Path planning  Training  Optimal control  Deep learning  Complex systems  Autonomous driving  deep reinforcement learning  deep Q-network  event-triggered control  parallel control  
Transformer-Based Macroscopic Regulation for High-Speed Railway Timetable Rescheduling 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1822-1833
作者:  Wei Xu;  Chen Zhao;  Jie Cheng;  Yin Wang;  Yiqing Tang;  Tao Zhang;  Zhiming Yuan;  Yisheng Lv;  Fei-Yue Wang
Adobe PDF(3484Kb)  |  收藏  |  浏览/下载：129/61  |  提交时间：2023/08/10
High-speed railway  reinforcement learning  train timetable rescheduling  Transformer  
STGSA: A Novel Spatial-Temporal Graph Synchronous Aggregation Model for Traffic Prediction 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 226-238
作者:  Zebing Wei;  Hongxia Zhao;  Zhishuai Li;  Xiaojie Bu;  Yuanyuan Chen;  Xiqiao Zhang;  Yisheng Lv;  Fei-Yue Wang
Adobe PDF(7068Kb)  |  收藏  |  浏览/下载：285/72  |  提交时间：2023/01/03
Deep learning  graph neural network (GNN)  multi-stream  spatial-temporal feature extraction  temporal graph  traffic prediction  
A Semisupervised End-to-End Framework for Transportation Mode Detection by Using GPS-Enabled Sensing Devices 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2022, 卷号: 9, 期号: 10, 页码: 7842-7852
作者:  Li, Zhishuai;  Xiong, Gang;  Wei, Zebing;  Lv, Yisheng;  Anwar, Noreen;  Wang, Fei-Yue
收藏  |  浏览/下载：223/0  |  提交时间：2022/07/25
GPS trajectory  human mobility  semi-supervised learning  transportation mode detection (TMD)  
Event-Triggered Near-Optimal Control for Unknown Discrete-Time Nonlinear Systems Using Parallel Control 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 15
作者:  Lu, Jingwei;  Wei, Qinglai;  Zhou, Tianmin;  Wang, Ziyang;  Wang, Fei-Yue
收藏  |  浏览/下载：231/0  |  提交时间：2022/07/25
Nonlinear systems  Optimal control  Control systems  Performance analysis  Stability criteria  Iterative algorithms  Heuristic algorithms  Adaptive dynamic programming (ADP)  event-triggered control  near-optimal control  parallel control  reinforcement learning (RL)  unknown nonlinear systems  
Event-Triggered Near-Optimal Control of Discrete-Time Constrained Nonlinear Systems With Application to a Boiler-Turbine System 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2022, 卷号: 18, 期号: 6, 页码: 3926-3935
作者:  Wei, Qinglai;  Lu, Jingwei;  Zhou, Tianmin;  Cheng, Xiang;  Wang, Fei-Yue
收藏  |  浏览/下载：237/0  |  提交时间：2022/06/06
Optimal control  Nonlinear systems  Informatics  Control systems  Performance analysis  Mathematical models  Upper bound  Adaptive dynamic programming (ADP)  boiler-turbine system (BTS)  control constraints  event-triggered  nonlinear optimal control  parallel control  
A Semi-supervised End-to-end Framework for Transportation Mode Detection by Using GPS-enabled Sensing Devices 期刊论文
IEEE Internet of Things Journal, 2022, 卷号: 9, 期号: 10, 页码: 7842-7852
作者:  Zhishuai Li;  Gang Xiong;  Zebing Wei;  YIsheng Lv;  Noreen Anwar;  Fei-Yue Wang
Adobe PDF(2754Kb)  |  收藏  |  浏览/下载：230/71  |  提交时间：2022/04/08
Transportation mode detection , Semi-supervised learning, Human mobility , GPS trajectory.  
AdapGL: An adaptive graph learning algorithm for traffic prediction based on spatiotemporal neural networks 期刊论文
Transportation Research Part C, 2022, 期号: 99, 页码: 1-1
作者:  Wei Zhang;  Fenghua Zhu;  Yisheng Lv;  Chang Tan;  Wen Liu;  Xin Zhang;  Fei-Yue Wang
Adobe PDF(2619Kb)  |  收藏  |  浏览/下载：400/133  |  提交时间：2022/04/08
Adaptive graph learning, Traffic prediction, Graph convolutional network, Expectation maximization, Deep learning