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Knowledge Transfer Learning via Dual Density Sampling for Resource-Limited Domain Adaptation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 12, 页码: 2269-2291
作者:  Zefeng Zheng;  Luyao Teng;  Wei Zhang;  Naiqi Wu;  Shaohua Teng
Adobe PDF(15412Kb)  |  收藏  |  浏览/下载：117/25  |  提交时间：2023/10/31
Cross-domain risk  dual density sampling  intra-domain risk  maximum mean discrepancy  knowledge transfer learning  resource-limited domain adaptation  
Magnetic Field-Based Reward Shaping for Goal-Conditioned Reinforcement Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 12, 页码: 2233-2247
作者:  Hongyu Ding;  Yuanze Tang;  Qing Wu;  Bo Wang;  Chunlin Chen;  Zhi Wang
Adobe PDF(5205Kb)  |  收藏  |  浏览/下载：101/34  |  提交时间：2023/10/31
Dynamic environments  goal-conditioned reinforcement learning  magnetic field  reward shaping  
Diverse Deep Matrix Factorization With Hypergraph Regularization for Multi-View Data Representation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2154-2167
作者:  Haonan Huang;  Guoxu Zhou;  Naiyao Liang;  Qibin Zhao;  Shengli Xie
Adobe PDF(3206Kb)  |  收藏  |  浏览/下载：131/39  |  提交时间：2023/09/22
Deep matrix factorization (DMF)  diversity  hypergraph regularization  multi-view data representation (MDR)  
Regularization by Multiple Dual Frames for Compressed Sensing Magnetic Resonance Imaging With Convergence Analysis 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2136-2153
作者:  Baoshun Shi;  Kexun Liu
Adobe PDF(16304Kb)  |  收藏  |  浏览/下载：85/40  |  提交时间：2023/09/22
Bounded denoiser  compressed sensing magnetic resonance imaging (CSMRI)  dual frames  plug-and-play priors  regularization  
Adaptive Graph Embedding With Consistency and Specificity for Domain Adaptation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2094-2107
作者:  Shaohua Teng;  Zefeng Zheng;  Naiqi Wu;  Luyao Teng;  Wei Zhang
Adobe PDF(1786Kb)  |  收藏  |  浏览/下载：123/50  |  提交时间：2023/09/22
Adaptive adjustment  consistency and specificity  domain adaptation  graph embedding  geometrical and semantic metrics  
An Optimal Control-Based Distributed Reinforcement Learning Framework for A Class of Non-Convex Objective Functionals of the Multi-Agent Network 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2081-2093
作者:  Zhe Chen;  Ning Li
Adobe PDF(3366Kb)  |  收藏  |  浏览/下载：67/25  |  提交时间：2023/09/22
Distributed optimization  multi-agent  optimal control  reinforcement learning (RL)  
Scheduling a Single-Arm Multi-Cluster Tool With a Condition-Based Cleaning Operation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 10, 页码: 1965-1983
作者:  Qinghua Zhu;  Hongpeng Li;  Cong Wang;  Yan Hou
Adobe PDF(2283Kb)  |  收藏  |  浏览/下载：93/34  |  提交时间：2023/09/07
Chamber cleaning  multi-cluster tools  scheduling  semiconductor manufacturing  
Fundamental Trackability Problems for Iterative Learning Control 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 10, 页码: 1933-1950
作者:  Deyuan Meng;  Jingyao Zhang
Adobe PDF(1530Kb)  |  收藏  |  浏览/下载：70/36  |  提交时间：2023/09/07
Convergence  functional Cauchy sequence (FCS)  iterative learning control (ILC)  trackability  
A Data-Driven Rutting Depth Short-Time Prediction Model With Metaheuristic Optimization for Asphalt Pavements Based on RIOHTrack 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 10, 页码: 1918-1932
作者:  Zhuoxuan Li;  Iakov Korovin;  Xinli Shi;  Sergey Gorbachev;  Nadezhda Gorbacheva;  Wei Huang;  Jinde Cao
Adobe PDF(3879Kb)  |  收藏  |  浏览/下载：99/32  |  提交时间：2023/09/07
Extreme learning machine algorithm with residual correction (RELM), metaheuristic optimization  oil-gas transportation  RIOHTrack  rutting depth  
AUTOSIM: Automated Urban Traffic Operation Simulation via Meta-Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1871-1881
作者:  Yuanqi Qin;  Wen Hua;  Junchen Jin;  Jun Ge;  Xingyuan Dai;  Lingxi Li;  Xiao Wang;  Fei-Yue Wang
Adobe PDF(3244Kb)  |  收藏  |  浏览/下载：91/17  |  提交时间：2023/08/10
Conditional generative adversarial network  signalized urban networks  short-term link speed prediction