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CASIA OpenIR
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The survey on multi-source data fusion in cyber-physical-social systems: Foundational infrastructure for industrial metaverses and industries 5.0 期刊论文
Information Fusion, 2024, 卷号: 107, 页码: 1-16
作者:  Xiao Wang;  Yutong Wang;  Jing Yang;  Xiaofeng Jia;  Lijun Li;  Weiping Ding;  Fei-Yue Wang
Adobe PDF(4446Kb)  |  收藏  |  浏览/下载：29/2  |  提交时间：2024/06/06
Multi-source data fusion  CPSS  Industrial metaverses  Parallel manufacturing  Social manufacturing  
Parallel Population and Parallel Human---A Cyber-Physical Social Approach 期刊论文
IEEE Intelligent Systems, 2022, 卷号: 37, 期号: 5, 页码: 19-27
作者:  Peijun Ye;  Fei-Yue Wang
Adobe PDF(3009Kb)  |  收藏  |  浏览/下载：32/7  |  提交时间：2024/06/06
Parallel Human  
Foundation Models for Transportation Intelligence: ITS Convergence in TransVerse 期刊论文
IEEE Intelligent Systems, 2022, 卷号: 37, 期号: 6, 页码: 77-82
作者:  Zhao, Chen;  Dai, Xingyuan;  Yisheng Lv;  Tian, Yonglin;  Ren, Yuhai;  Wang, Fei-Yue
Adobe PDF(2790Kb)  |  收藏  |  浏览/下载：23/6  |  提交时间：2024/05/28
Computational Experiments for Complex Social Systems: Integrated Design of Experiment System 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1175-1189
作者:  Xiao Xue;  Xiangning Yu;  Deyu Zhou;  Xiao Wang;  Chongke Bi;  Shufang Wang;  Fei-Yue Wang
Adobe PDF(11890Kb)  |  收藏  |  浏览/下载：50/6  |  提交时间：2024/04/10
Artificial society  computational experiments  model integration  operation engine  technology integration  
Computational Experiments for Complex Social Systems: Experiment Design and Generative Explanation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 1022-1038
作者:  Xiao Xue;  Deyu Zhou;  Xiangning Yu;  Gang Wang;  Juanjuan Li;  Xia Xie;  Lizhen Cui;  Fei-Yue Wang
Adobe PDF(7239Kb)  |  收藏  |  浏览/下载：61/14  |  提交时间：2024/03/18
Agent-based modeling  computational experiments  cyber-physical-social systems (CPSS)  generative deduction  generative experiments  meta model  
Multistep Look-Ahead Policy Iteration for Optimal Control of Discrete-Time Nonlinear Systems With Isoperimetric Constraints 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 卷号: 54, 期号: 3, 页码: 1414-1426
作者:  Li, Tao;  Wei, Qinglai;  Wang, Fei-Yue
Adobe PDF(784Kb)  |  收藏  |  浏览/下载：100/12  |  提交时间：2024/02/22
Performance analysis  Optimal control  Dynamic programming  Iterative algorithms  Upper bound  Measurement  Convergence  Adaptive dynamic programming (ADP)  isoperimetric constraints  nonlinear systems  optimal control  policy iteration  
New Paradigm for Economic and Financial Research With Generative AI: Impact and Perspective 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2024, 页码: 11
作者:  Zheng, Xiaolong;  Li, Jingyu;  Lu, Mengyao;  Wang, Fei-Yue
收藏  |  浏览/下载：68/0  |  提交时间：2024/02/22
Economics  Biological system modeling  Data models  Task analysis  Behavioral sciences  Big Data  Analytical models  finance  generative artificial intelligence (GAI)  reinforcement learning from human feedback (RLHF)  research paradigm  
Sustainable Mining in the Era of Artificial Intelligence 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 1-4
作者:  Long Chen;  Yuting Xie;  Yutong Wang;  Shirong Ge;  Fei-Yue Wang
Adobe PDF(4450Kb)  |  收藏  |  浏览/下载：123/51  |  提交时间：2024/01/02
Steps Toward Industry 5.0: Building "6S" Parallel Industries With Cyber-Physical-Social Intelligence 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2023, 卷号: 10, 期号: 8, 页码: 1692-1703
作者:  Wang, Xingxia;  Yang, Jing;  Wang, Yutong;  Miao, Qinghai;  Wang, Fei-Yue;  Zhao, Aijun;  Deng, Jian-Ling;  Li, Lingxi;  Na, Xiaoxiang;  Vlacic, Ljubo
Adobe PDF(3058Kb)  |  收藏  |  浏览/下载：142/0  |  提交时间：2023/11/17
ACP  artificial intelligence  CPS  CPSS  Industry 4  0  Industry 5  parallel industries  parallel intelligence  
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：112/0  |  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