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Parallel reinforcement learning: a framework and case study 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2018, 卷号: 5, 期号: 4, 页码: 827-835
作者:  Teng Liu;  Bin TIan;  Yunfeng Ai;  Li Li;  Dongpu Cao;  Feiyue Wang
Adobe PDF(7005Kb)  |  收藏  |  浏览/下载:70/17  |  提交时间:2023/05/05
Learning to Transform Service Instructions into Actions with Reinforcement Learning and Knowledge Base 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 5, 页码: 582-592
作者:  Meng-Yang Zhang;  Guo-Hui Tian;  Ci-Ci Li;  Jing Gong
浏览  |  Adobe PDF(975Kb)  |  收藏  |  浏览/下载:175/51  |  提交时间:2021/02/23
Natural language  robot  knowledge base  reinforcement learning  object state.  
Current Researches and Future Development Trend of Intelligent Robot: A Review 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 5, 页码: 525-546
作者:  Tian-Miao Wang;  Yong Tao;  Hui Liu
浏览  |  Adobe PDF(2945Kb)  |  收藏  |  浏览/下载:225/62  |  提交时间:2021/02/23
Intelligent robot  human-robot collaboration  driverless technology  emotion recognition  brain-computer interface  big data network.  
Resilient Control for Networked Control Systems Subject to Cyber/Physical Attacks 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 3, 页码: 345-354
作者:  Taouba Rhouma;  Karim Chabir;  Mohamed Naceur Abdelkrim
浏览  |  Adobe PDF(1659Kb)  |  收藏  |  浏览/下载:174/69  |  提交时间:2021/02/23
Networked control systems (NCSs)  cyber physical attacks  Kalman filtering  resilient control  anomaly detector.  
Machining Robot with Vibrational Motion and 3D Printer-like Data Interface 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 1, 页码: 1-12
作者:  Fusaomi Nagata;  Keigo Watanabe;  Maki K. Habib
浏览  |  Adobe PDF(2591Kb)  |  收藏  |  浏览/下载:134/46  |  提交时间:2021/02/23
Computer integrated manufacturing  machining robot  computer aided design (CAD)/computer-aided manufacturing (CAM)  cutter location (CL) data  vibrational motion  stereolithography (STL) data  preprocessor  3 dimensional (3D) printer-like data interface.  
Brain-Inspired Motion Learning in Recurrent Neural Network With Emotion Modulation 期刊论文
IEEE Transactions on Cognitive and Developmental Systems, 2018, 卷号: 10, 期号: 4, 页码: 1153 - 1164
作者:  Huang, Xiao;  Wu, Wei;  Qiao, Hong;  Ji, Yidao
浏览  |  Adobe PDF(2073Kb)  |  收藏  |  浏览/下载:241/76  |  提交时间:2020/06/09
Brain-inspired model  emotion  motion learning  recurrent neural network  
A novel triggering condition of event-triggered control based on heuristic dynamic programming for discrete-time systems 期刊论文
Optimal Control Applications & Methods, 2018, 卷号: 39, 期号: 4, 页码: 1467-1478
作者:  Wang, Ziyang;  Wei, Qinglai;  Liu, Derong
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Adaptive Dynamic Design  Adaptive Dynamic Programming  Approximate Dynamic Programming  Event-triggered Control  Optimal Control  
Torque sensorless decentralized neuro-optimal control for modular and reconfigurable robots with uncertain environments 期刊论文
NEUROCOMPUTING, 2018, 卷号: 282, 页码: 60-73
作者:  Dong, Bo;  Zhou, Fan;  Liu, Keping;  Li, Yuanchun
收藏  |  浏览/下载:271/0  |  提交时间:2019/12/16
Modular and reconfigurable robot  Decentralized control  Adaptive dynamic programming (ADP)  Optimal control  Neural networks  
A knowledge-and-data-driven modeling approach for simulating plant growth and the dynamics of CO2/O-2 concentrations in a closed system of plants and humans by integrating mechanistic and empirical models 期刊论文
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2018, 卷号: 148, 期号: -, 页码: 280-290
作者:  Fan, Xing-Rong;  Wang, Xiujuan;  Kang, Mengzhen;  Hua, Jing;  Guo, Shuangsheng;  de Reffye, Philippe;  Hu, Bao-Gang
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Closed Ecological Life Support System  Functional-structural Plant Model  Knowledge-and-data-driven Model  Mass Balance Model  Model Evaluation  And Model Verification  
Image Captioning with Word Gate and Adaptive Self-Critical Learning 期刊论文
APPLIED SCIENCES-BASEL, 2018, 卷号: 8, 期号: 6, 页码: 13
作者:  Zhu, Xinxin;  Li, Lixiang;  Liu, Jing;  Guo, Longteng;  Fang, Zhiwei;  Peng, Haipeng;  Niu, Xinxin
Adobe PDF(3312Kb)  |  收藏  |  浏览/下载:415/66  |  提交时间:2019/12/16
image caption  image understanding  deep learning  computer vision