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Safety-Critical Trajectory Tracking for Mobile Robots With Guaranteed Performance 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 9, 页码: 2033-2035
作者:  Wentao Wu;  Di Wu;  Yibo Zhang;  Shukang Chen;  Weidong Zhang
Adobe PDF(5734Kb)  |  收藏  |  浏览/下载：18/7  |  提交时间：2024/08/09
Safe Efficient Policy Optimization Algorithm for Unsignalized Intersection Navigation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 9, 页码: 2011-2026
作者:  Xiaolong Chen;  Biao Xu;  Manjiang Hu;  Yougang Bian;  Yang Li;  Xin Xu
Adobe PDF(5707Kb)  |  收藏  |  浏览/下载：10/1  |  提交时间：2024/08/09
Autonomous driving  decision-making  reinforcement learning (RL)  unsignalized intersection  
Target Controllability of Multi-Layer Networks With High-Dimensional Nodes 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 9, 页码: 1999-2010
作者:  Lifu Wang;  Zhaofei Li;  Ge Guo;  Zhi Kong
Adobe PDF(1632Kb)  |  收藏  |  浏览/下载：12/5  |  提交时间：2024/08/09
High-dimensional nodes  inter-layer couplings  multi-layer networks  target controllability  
Cognitive Navigation for Intelligent Mobile Robots: A Learning-Based Approach With Topological Memory Configuration 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 9, 页码: 1933-1943
作者:  Qiming Liu;  Xinru Cui;  Zhe Liu;  Hesheng Wang
Adobe PDF(10608Kb)  |  收藏  |  浏览/下载：3/2  |  提交时间：2024/08/09
Graph neural networks (GNNs)  spatial memory  topological map  visual navigation  
Enhancing Evolutionary Algorithms With Pattern Mining for Sparse Large-Scale Multi-Objective Optimization Problems 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 8, 页码: 1786-1801
作者:  Sheng Qi;  Rui Wang;  Tao Zhang;  Weixiong Huang;  Fan Yu;  Ling Wang
Adobe PDF(2019Kb)  |  收藏  |  浏览/下载：25/14  |  提交时间：2024/07/16
Evolutionary algorithms  pattern mining  sparse large-scale multi-objective problems (SLMOPs)  sparse large-scale optimization  
A LiDAR Point Clouds Dataset of Ships in a Maritime Environment 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 7, 页码: 1681-1694
作者:  Qiuyu Zhang;  Lipeng Wang;  Hao Meng;  Wen Zhang;  Genghua Huang
Adobe PDF(10728Kb)  |  收藏  |  浏览/下载：63/23  |  提交时间：2024/06/07
3D point clouds dataset  dynamic tail wave  fog simulation  rainy simulation  simulated data  
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：54/18  |  提交时间：2024/05/22
Automated optical inspection (AOI)  deep learning  defect detection  printed circuit board assembly (PCBA)  semantic segmentation  
Adaptive Event-triggered Time-varying Output Group Formation Containment Control of Heterogeneous Multiagent Systems 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1398-1409
作者:  Lihong Feng;  Bonan Huang;  Jiayue Sun;  Qiuye Sun;  Xiangpeng Xie
Adobe PDF(3455Kb)  |  收藏  |  浏览/下载：56/21  |  提交时间：2024/05/22
Adaptive control  event-triggered mechanisms  formation containment (FC)  heterogeneous multiagent systems  time-varying group formation  
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：64/18  |  提交时间：2024/05/22
Asynchronous switching  learning-based control  output feedback  semi-Markovian jump systems  sliding mode control (SMC)  
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：78/33  |  提交时间：2024/05/22
Convolutional neural network  deep learning  recurrent neural network  turbulence prediction  wind load prediction