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| 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:19/6  |  提交时间:2024/05/22 Adaptive space expansion (ASE) hyper-ellipsoid ring informed sampling motion planning |
| 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:7/2  |  提交时间:2024/05/22 Automated optical inspection (AOI) deep learning defect detection printed circuit board assembly (PCBA) semantic segmentation |
| 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:17/5  |  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 |
| 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:7/1  |  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:49/17  |  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:46/15  |  提交时间:2024/04/10 Labeled Petri net multi-valued decision diagram networked discrete event system state-based opacity |
| Prescribed Performance Evolution Control for Quadrotor Autonomous Shipboard Landing 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1151-1162 作者: Yang Yuan; Haibin Duan; Zhigang Zeng Adobe PDF(5858Kb)  |  收藏  |  浏览/下载:39/13  |  提交时间:2024/04/10 Adaptive sliding mode observer (ASMO) dynamic surface control prescribed performance evolution control (PPEC) quadrotor shipboard landing |
| Evolutionary Optimization Methods for High-Dimensional Expensive Problems: A Survey 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1092-1105 作者: MengChu Zhou; Meiji Cui; Dian Xu; Shuwei Zhu; Ziyan Zhao; Abdullah Abusorrah Adobe PDF(2100Kb)  |  收藏  |  浏览/下载:24/3  |  提交时间:2024/04/10 Evolutionary algorithm (EA) high-dimensional expensive problems (HEPs) industrial applications surrogate-assisted optimization |
| 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:67/19  |  提交时间:2024/03/18 Finite-time control multi-agent systems neural network prescribed performance control time-varying formation control |
| Computational Experiments for Complex Social Systems: Experiment Design and Generative Explanation 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 1022-1038 作者: Xiao Xue; Deyu Zhou; Xiangning Yu; Gang Wang; Juanjuan Li; Xia Xie; Lizhen Cui; Fei-Yue Wang Adobe PDF(7239Kb)  |  收藏  |  浏览/下载:41/8  |  提交时间:2024/03/18 Agent-based modeling computational experiments cyber-physical-social systems (CPSS) generative deduction generative experiments meta model |