中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共4条，第1-4条 帮助

限定条件        
已选(0)清除 条数/页：   排序方式：
DeFACT in ManuVerse for Parallel Manufacturing: Foundation Models and Parallel Workers in Smart Factories 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 页码: 12
作者:  Yang, Jing;  Li, Shimeng;  Wang, Xiaoxing;  Lu, Jingwei;  Wu, Huaiyu;  Wang, Xiao
收藏  |  浏览/下载：308/0  |  提交时间：2023/02/22
Artificial systems  computational experiments  and parallel execution (ACP)  cyber-physical-social systems (CPSSs)  decentralized autonomous organization (DAO)  ManuVerse  parallel manufacturing  smart manufacturing  
Decentralized Autonomous Operations and Organizations in TransVerse: Federated Intelligence for Smart Mobility 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 卷号: 53, 期号: 4, 页码: 2062-2072
作者:  Zhao, Chen;  Dai, Xingyuan;  Lv, Yisheng;  Niu, Jinglong;  Lin, Yilun
Adobe PDF(1921Kb)  |  收藏  |  浏览/下载：287/6  |  提交时间：2023/02/22
Intelligent Transportation Systems (ITS)  Artificial Systems, Computational Experiments, Parallel Execution (ACP)  Cyber–Physical–Social Systems (CPSS)  
Metaverses-Based Parallel Oil Fields in CPSS: A Framework and Methodology 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 页码: 10
作者:  Wang, Xingxia;  Cheng, Xiang;  Lu, Jingwei;  Kwan, Oliver;  Li, Shixing;  Ping, Zhixing
收藏  |  浏览/下载：145/0  |  提交时间：2023/02/22
Artificial systems  computational experiments  and parallel executions (ACP) approach  Cyber-physical-social systems (CPSS)  digital workers  fault diagnosis  metaverses-based parallel oil fields  parallel systems  
Discrete-Time Self-Learning Parallel Control 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 卷号: 52, 期号: 1, 页码: 192-204
作者:  Wei, Qinglai;  Wang, Lingxiao;  Lu, Jingwei;  Wang, Fei-Yue
收藏  |  浏览/下载：246/0  |  提交时间：2022/02/16
Optimal control  Nonlinear systems  Time-varying systems  Performance analysis  Complex systems  Biological neural networks  ACP  adaptive dynamic programming (ADP)  approximate dynamic programming  nonlinear systems  optimal control  parallel control  reinforcement learning