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Industry-oriented Detection Method of PCBA Defects Using Semantic Segmentation Models 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1438-1446
作者:  Yang Li;  Xiao Wang;  Zhifan He;  Ze Wang;  Ke Cheng;  Sanchuan Ding;  Yijing Fan;  Xiaotao Li;  Yawen Niu;  Shanpeng Xiao;  Zhenqi Hao;  Bin Gao;  Huaqiang Wu
Adobe PDF(12898Kb)  |  收藏  |  浏览/下载：4/2  |  提交时间：2024/05/22
Automated optical inspection (AOI)  deep learning  defect detection  printed circuit board assembly (PCBA)  semantic segmentation  
Hyperbolic Tangent Function-Based Protocols for Global/Semi-Global Finite-Time Consensus of Multi-Agent Systems 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1381-1397
作者:  Zongyu Zuo;  Jingchuan Tang;  Ruiqi Ke;  Qing-Long Han
Adobe PDF(3135Kb)  |  收藏  |  浏览/下载：4/3  |  提交时间：2024/05/22
Consensus protocol  finite-time consensus  hyperbolic tangent function  multi-agent systems  
Asynchronous learning-based output feedback sliding mode control for semi-Markov jumpsystems: A descriptor approach 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1358-1369
作者:  Zheng Wu;  Yiyun Zhao;  Fanbiao Li;  Tao Yang;  Yang Shi;  Weihua Gui
Adobe PDF(2638Kb)  |  收藏  |  浏览/下载：5/2  |  提交时间：2024/05/22
Asynchronous switching  learning-based control  output feedback  semi-Markovian jump systems  sliding mode control (SMC)  
A Two-layer Encoding Learning Swarm Optimizer based on Frequent Itemsets for Sparse Large-scale Multi-objective Optimization 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1342-1357
作者:  Sheng Qi;  Rui Wang;  Tao Zhang;  Xu Yang;  Ruiqing Sun;  Ling Wang
Adobe PDF(3038Kb)  |  收藏  |  浏览/下载：11/3  |  提交时间：2024/05/22
Evolutionary algorithms  learning swarm optimization  sparse large-scale optimization  sparse large-scale multi-objective problems  two-layer encoding  
Mapping Network-coordinated Stacked Gated Recurrent Units for Turbulence Prediction 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1331-1341
作者:  Zhiming Zhang;  Shangce Gao;  MengChu Zhou;  Mengtao Yan;  Shuyang Cao
Adobe PDF(7172Kb)  |  收藏  |  浏览/下载：6/3  |  提交时间：2024/05/22
Convolutional neural network  deep learning  recurrent neural network  turbulence prediction  wind load prediction  
Uncertainty-aware Deep Learning: A Promising Tool for Trustworthy Fault Diagnosis 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1317-1330
作者:  Jiaxin Ren;  Jingcheng Wen;  Zhibin Zhao;  Ruqiang Yan;  Xuefeng Chen;  Asoke K. Nandi
Adobe PDF(16165Kb)  |  收藏  |  浏览/下载：3/1  |  提交时间：2024/05/22
Out-of-distribution detection  traceability analysis  trustworthy fault diagnosis  uncertainty quantification  
Multi-Axis Attention With Convolution Parallel Block for Organoid Segmentation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1295-1297
作者:  Pengwei Hu;  Xun Deng;  Feng Tan;  Lun Hu
Adobe PDF(1525Kb)  |  收藏  |  浏览/下载：40/15  |  提交时间：2024/04/10
State-Based Opacity Verification of Networked Discrete Event Systems Using Labeled Petri Nets 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1274-1291
作者:  Yifan Dong;  Naiqi Wu;  Zhiwu Li
Adobe PDF(7338Kb)  |  收藏  |  浏览/下载：40/12  |  提交时间：2024/04/10
Labeled Petri net  multi-valued decision diagram  networked discrete event system  state-based opacity  
Privacy-Preserving Consensus-Based Distributed Economic Dispatch of Smart Grids via State Decomposition 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1250-1261
作者:  Wei Chen;  Guo-Ping Liu
Adobe PDF(1624Kb)  |  收藏  |  浏览/下载：44/12  |  提交时间：2024/04/10
Consensus-based DED algorithm  privacy preservation  smart grids  state decomposition  
Event-Triggered Bipartite Consensus Tracking and Vibration Control of Flexible Timoshenko Manipulators Under Time-Varying Actuator Faults 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1190-1201
作者:  Xiangqian Yao;  Hao Sun;  Zhijia Zhao;  Yu Liu
Adobe PDF(3001Kb)  |  收藏  |  浏览/下载：15/3  |  提交时间：2024/04/10
Bipartite consensus tracking  event-triggered control  multiple manipulators  neural networks  time-varying actuator faults