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Bionic Underwater Vehicle: A Data-Driven Disturbance Rejection Control Framework 期刊论文
IEEE ROBOTICS & AUTOMATION MAGAZINE, 2023, 卷号: 31, 期号: 1, 页码: 18-28
作者:  Wang, Kaihui;  Zou, Wei;  Ma, Ruichen;  Lv, Jiaqi;  Su, Hu;  Wang, Yu;  Ma, Hongxuan
Adobe PDF(2970Kb)  |  收藏  |  浏览/下载：57/5  |  提交时间：2024/02/22
Vehicle dynamics  Robots  Propulsion  Predictive models  Biological system modeling  Robustness  Disturbance observers  
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：132/0  |  提交时间：2023/11/17
ACP  artificial intelligence  CPS  CPSS  Industry 4  0  Industry 5  parallel industries  parallel intelligence  
Terrain-Adaptive Longitudinal Control for Autonomous Trucks 会议论文
, Macau, China, 2022.10.08
作者:  Xiaoyu Xiong;  Bin Tian;  Rui Zhang;  Yang Sun;  Long Chen
Adobe PDF(2543Kb)  |  收藏  |  浏览/下载：108/38  |  提交时间：2023/05/06
Coordinated Cyber Security Enhancement for Grid-Transportation Systems With Social Engagement 期刊论文
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 2022, 页码: 15
作者:  Zhao, Pengfei;  Li, Shuangqi;  Hu, Paul Jen-Hwa;  Cao, Zhidong;  Gu, Chenghong;  Xie, Da;  Zeng, Daniel Dajun
收藏  |  浏览/下载：223/0  |  提交时间：2022/11/14
Transportation  Computer crime  Renewable energy sources  Smart cities  Vehicle-to-grid  Uncertainty  Turbines  Cyber-attack  cyber security  electric vehicle  false data injection attacks  multi-energy system  smart city manage-ment  social effort  
Supervised assisted deep reinforcement learning for emergency voltage control of power systems 期刊论文
NEUROCOMPUTING, 2022, 卷号: 475, 页码: 69-79
作者:  Li, Xiaoshuang;  Wang, Xiao;  Zheng, Xinhu;  Dai, Yuxin;  Yu, Zhihong;  Zhang, Jun Jason;  Bu, Guangquan;  Wang, Fei-Yue
Adobe PDF(2551Kb)  |  收藏  |  浏览/下载：334/67  |  提交时间：2022/06/06
Deep reinforcement learning  Behavioral cloning  Dynamic demonstration  Emergency control  
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：187/47  |  提交时间：2022/04/07
DC-Link Voltage Control, Power Follower Control Strategy, Series Hybrid Electric Vehicles, Tuning  
Control-Limited Adaptive Dynamic Programming for Multi-Battery Energy Storage Systems 期刊论文
IEEE TRANSACTIONS ON SMART GRID, 2019, 卷号: 10, 期号: 4, 页码: 4235-4244
作者:  Zhu, Yuanheng;  Zhao, Dongbin;  Li, Xiangjun;  Wang, Ding
Adobe PDF(973Kb)  |  收藏  |  浏览/下载：287/6  |  提交时间：2019/09/30
Microgrid  energy storage system  multi-battery management system  adaptive dynamic programming  control-limited optimization  
基于平行智能的物联网关键技术研究及应用 学位论文
工学博士, 中科院自动化研究所: 中国科学院大学, 2019
作者:  李玉珂
Adobe PDF(3907Kb)  |  收藏  |  浏览/下载：347/7  |  提交时间：2019/06/24
ACP方法  平行智能  物联网  低功耗广域网  正交频分复用  
Smart Choice for the Smart Grid: Narrowband Internet of Things (NB-IoT) 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2018, 卷号: 5, 期号: 3, 页码: 1505-1515
作者:  Li, Yuke;  Cheng, Xiang;  Cao, Yang;  Wang, Dexin;  Yang, Liuqing
浏览  |  Adobe PDF(1367Kb)  |  收藏  |  浏览/下载：696/271  |  提交时间：2019/06/08
Advanced metering infrastructure (AMI)  communication technologies  low power wide area network (LPWAN)  narrowband Internet of Things (NB-IoT)  smart grid  
Levenberg-Marquadt Backpropagation Training of Multilayer Neural Networks for State Estimation of a Safety-Critical Cyber-Physical System 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2018, 卷号: 14, 期号: 8, 页码: 3436-3446
作者:  Lv, Chen;  Xing, Yang;  Zhang, Junzhi;  Na, Xiaoxiang;  Li, Yutong;  Liu, Teng;  Cao, Dongpu;  Wang, Fei-Yue
收藏  |  浏览/下载：168/0  |  提交时间：2018/10/10
Artificial Neural Networks (Anns)  Brake Pressure Estimation  Cyber-physical System (Cps)  Electric Vehicle (Ev)  Levenberg-marquardt Backpropagation (Lmbp)  Safety-critical System