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Collective Entity Alignment for Knowledge Fusion of Power Grid Dispatching Knowledge Graphs 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 9, 期号: 11, 页码: 1-15
作者:  Yang, Linyao;  Lv, Chen;  Wang, Xiao;  Qiao, Ji;  Ding, Weiping;  Zhang, Jun;  Wang, Fei-Yue
Adobe PDF(1600Kb)  |  收藏  |  浏览/下载：198/27  |  提交时间：2022/06/15
entity alignment  integer programming  knowledge fusion  knowledge graph embedding  power dispatch  
Energy-Efficient Optimal Guaranteed Cost Intermittent-Switch Control of a Direct Expansion Air Conditioning System 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 11, 页码: 1852-1866
作者:  Jun Mei;  Zhenyu Lu;  Junhao Hu;  Yuling Fan
Adobe PDF(1768Kb)  |  收藏  |  浏览/下载：119/51  |  提交时间：2021/09/03
Energy efficiency  hierarchical control  open loop optimal control  optimal guaranteed cost periodically intermittent-switch control  
Variational Gridded Graph Convolution Network for Node Classification 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 10, 页码: 1697-1708
作者:  Xiaobin Hong;  Tong Zhang;  Zhen Cui;  Jian Yang
Adobe PDF(2419Kb)  |  收藏  |  浏览/下载：133/40  |  提交时间：2021/09/03
Graph coarsening  gridding  node classification  random walk  variational convolution  
Hierarchical Reinforcement Learning With Automatic Sub-Goal Identification 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 10, 页码: 1686-1696
作者:  Chenghao Liu;  Fei Zhu;  Quan Liu;  Yuchen Fu
Adobe PDF(5095Kb)  |  收藏  |  浏览/下载：127/46  |  提交时间：2021/09/03
Hierarchical control  hierarchical reinforcement learning  option  sparse reward  sub-goal  
A Review on Representative Swarm Intelligence Algorithms for Solving Optimization Problems: Applications and Trends 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 10, 页码: 1627-1643
作者:  Jun Tang;  Gang Liu;  Qingtao Pan
Adobe PDF(5712Kb)  |  收藏  |  浏览/下载：134/33  |  提交时间：2021/09/03
Ant colony optimization (ACO)  artificial bee colony (ABC)  artificial fish swarm (AFS)  bacterial foraging optimization (BFO)  optimization  particle swarm optimization (PSO)  swarm intelligence  
A Unified Optimization-Based Framework to Adjust Consensus Convergence Rate and Optimize the Network Topology in Uncertain Multi-Agent Systems 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 9, 页码: 1539-1548
作者:  Mohammad Saeed Sarafraz;  Mohammad Saleh Tavazoei
Adobe PDF(1259Kb)  |  收藏  |  浏览/下载：141/37  |  提交时间：2021/09/03
Convergence-rate  element-wise uncertainty  robust controller  topology design  
FISS GAN: A Generative Adversarial Network for Foggy Image Semantic Segmentation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 8, 页码: 1428-1439
作者:  Kunhua Liu;  Zihao Ye;  Hongyan Guo;  Dongpu Cao;  Long Chen;  Fei-Yue Wang
Adobe PDF(16859Kb)  |  收藏  |  浏览/下载：181/30  |  提交时间：2021/06/11
Edge GAN  foggy images  foggy image semantic segmentation GAN  semantic segmentation  
Remaining Useful Life Prediction for a Roller in a Hot Strip Mill Based on Deep Recurrent Neural Networks 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 7, 页码: 1345-1354
作者:  Ruihua Jiao;  Kaixiang Peng;  Jie Dong
Adobe PDF(1807Kb)  |  收藏  |  浏览/下载：144/51  |  提交时间：2021/06/11
Hot strip mill  prognostics and health management (PHM)  recurrent neural network (RNN)  remaining useful life (RUL)  roller management  
Human-Swarm-Teaming Transparency and Trust Architecture 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 7, 页码: 1281-1295
作者:  Adam J. Hepworth;  Daniel P. Baxter;  Aya Hussein;  Kate J. Yaxley;  Essam Debie;  Hussein A. Abbass
Adobe PDF(2092Kb)  |  收藏  |  浏览/下载：275/97  |  提交时间：2021/06/11
Artificial intelligence  explainability  human-swarm teaming (HST)  interpretability  predictability  swarm shepherding  transparency  
Lightweight Image Super-Resolution via Weighted Multi-Scale Residual Network 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 7, 页码: 1271-1280
作者:  Long Sun;  Zhenbing Liu;  Xiyan Sun;  Licheng Liu;  Rushi Lan;  Xiaonan Luo
Adobe PDF(9334Kb)  |  收藏  |  浏览/下载：148/31  |  提交时间：2021/06/11
Convolutional neural network (CNN)  lightweight framework  multi-scale  super-resolution