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Resilient Control in Large-Scale Networked Cyber-Physical Systems:Guest Editorial 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 5, 页码: 1201-1203
作者:  Giuseppe Franzè;  Giancarlo Fortino;  Xianghui Cao;  Giuseppe Maria Luigi Sarnè;  Zhen Song
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A Hybrid Brain-Computer Interface for Closed-Loop Position Control of a Robot Arm 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 5, 页码: 1344-1360
作者:  Arnab Rakshit;  Amit Konar;  Atulya K. Nagar
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Brain-computer interfacing (BCI)  electroencephalography (EEG)  Jaco robot arm  motor imagery  P300  steady-state visually evoked potential (SSVEP)  
Secure Synchronization Control for a Class ofCyber-Physical Systems WithUnknown Dynamics 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 5, 页码: 1215-1224
作者:  Ning Wang;  Xiaojian Li
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Algebraic Riccati equation (ARE)  complex dynamical networks (CDNs)  denial-of-service (DoS)  secure control  
Learning-Based Switched Reliable Control of Cyber-Physical Systems With Intermittent Communication Faults 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 3, 页码: 711-724
作者:  Xin Huang;  Jiuxiang Dong
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Adaptive dynamic programming (ADP)  communication fault  cyber-physical systems (CPSs)  data-driven control  reliable control  
Parallel Reinforcement Learning-Based Energy Efficiency Improvement for a Cyber-Physical System 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 2, 页码: 617-626
作者:  Teng Liu;  Bin Tian;  Yunfeng Ai;  Fei-Yue Wang
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Bidirectional long short-term memory (LSTM) network  cyber-physical system (CPS)  energy management  parallel system  reinforcement learning (RL)  
Parallel reinforcement learning-based energy efficiency improvement for a cyber-physical system 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2020, 卷号: 7, 期号: 2, 页码: 617-626
作者:  Liu, Teng;  Tian, Bin;  Ai, Yunfeng;  Wang, Fei-Yue
Adobe PDF(5784Kb)  |  收藏  |  浏览/下载:261/6  |  提交时间:2020/06/02
Bidirectional long short-term memory (LSTM) network  cyber-physical system (CPS)  energy management  parallel system  reinforcement learning (RL)