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| Low-Rank Optimal Transport for Robust Domain Adaptation 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 7, 页码: 1667-1680 作者: Bingrong Xu; Jianhua Yin; Cheng Lian; Yixin Su; Zhigang Zeng
Adobe PDF(3368Kb)  |   收藏  |  浏览/下载:32/15  |  提交时间:2024/06/07 Domain adaptation low-rank constraint noise corruption optimal transport |
| Distributed Optimal Variational GNE Seeking in Merely Monotone Games 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 7, 页码: 1621-1630 作者: Wangli He; Yanzhen Wang
Adobe PDF(2076Kb)  |   收藏  |  浏览/下载:23/12  |  提交时间:2024/06/07 Distributed algorithms equilibria selection generalized Nash equilibrium (GNE) merely monotone games |
| Adaptive Space Expansion for Fast Motion Planning 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1499-1514 作者: Shenglei Shi; Jiankui Chen
Adobe PDF(4194Kb)  |   收藏  |  浏览/下载:42/15  |  提交时间:2024/05/22 Adaptive space expansion (ASE) hyper-ellipsoid ring informed sampling motion planning |
| Accelerated Primal-Dual Projection Neurodynamic Approach with time Scaling for Linear and set Constrained Convex Optimization Problems 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1485-1498 作者: You Zhao; Xing He ; Mingliang Zhou; Tingwen Huang
Adobe PDF(2287Kb)  |   收藏  |  浏览/下载:41/19  |  提交时间:2024/05/22 Accelerated projection neurodynamic approach linear and set constraints projection operators smooth and nonsmooth convex optimization time scaling |
| 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:29/7  |  提交时间:2024/05/22 Automated optical inspection (AOI) deep learning defect detection printed circuit board assembly (PCBA) semantic segmentation |
| Computational Experiments for Complex Social Systems: Integrated Design of Experiment System 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1175-1189 作者: Xiao Xue; Xiangning Yu; Deyu Zhou; Xiao Wang ; Chongke Bi; Shufang Wang; Fei-Yue Wang![](/image/person.jpg)
Adobe PDF(11890Kb)  |   收藏  |  浏览/下载:52/7  |  提交时间:2024/04/10 Artificial society computational experiments model integration operation engine technology integration |
| Nested Saturated Control of Uncertain Complex Cascade Systems Using Mixed Saturation Levels 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1163-1174 作者: Meng Li ; Zhigang Zeng
Adobe PDF(1184Kb)  |   收藏  |  浏览/下载:56/19  |  提交时间:2024/04/10 Differentiable saturation functions global stabilization analysis mixed saturation levels nested saturated control uncertain complex cascade systems |
| Finite-time Prescribed Performance Time-Varying Formation Control for Second-Order Multi-Agent Systems With Non-Strict Feedback Based on a Neural Network Observer 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 1039-1050 作者: Chi Ma; Dianbiao Dong
Adobe PDF(3531Kb)  |   收藏  |  浏览/下载:84/23  |  提交时间:2024/03/18 Finite-time control multi-agent systems neural network prescribed performance control time-varying formation control |
| Detection of Oscillations in Process Control Loops From Visual Image Space Using Deep Convolutional Networks 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 982-995 作者: Tao Wang ; Qiming Chen; Xun Lang; Lei Xie; Peng Li; Hongye Su
Adobe PDF(3095Kb)  |   收藏  |  浏览/下载:71/20  |  提交时间:2024/03/18 Convolutional neural networks (CNNs) deep learning image processing oscillation detection process industries |
| A Weakly-Supervised Crowd Density Estimation Method Based on Two-Stage Linear Feature Calibration 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 965-981 作者: Yong-Chao Li; Rui-Sheng Jia; Ying-Xiang Hu; Hong-Mei Sun
Adobe PDF(10448Kb)  |   收藏  |  浏览/下载:64/28  |  提交时间:2024/03/18 Crowd density estimation linear feature calibration vision transformer weakly-supervision learning |