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Optimal Positioning Strategy for Multi-Camera Zooming Drones 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 8, 页码: 1802-1818
作者:  Manuel Vargas;  Carlos Vivas;  Teodoro Alamo
Adobe PDF(6070Kb)  |  收藏  |  浏览/下载：10/3  |  提交时间：2024/07/16
Convex optimization  projective transformation  unmanned aerial vehicle  visual object tracking  visual surveillance  
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：11/6  |  提交时间：2024/07/16
Evolutionary algorithms  pattern mining  sparse large-scale multi-objective problems (SLMOPs)  sparse large-scale optimization  
A Survey on Type-3 Fuzzy Logic Systems and Their Control Applications 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 8, 页码: 1744-1756
作者:  Oscar Castillo;  Fevrier Valdez;  Patricia Melin;  Weiping Ding
Adobe PDF(5742Kb)  |  收藏  |  浏览/下载：8/3  |  提交时间：2024/07/16
Applications  control systems  optimization  review  type-3 fuzzy logic  
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：31/15  |  提交时间：2024/06/07
Distributed algorithms  equilibria selection  generalized Nash equilibrium (GNE)  merely monotone games  
Neural Dynamics for Cooperative Motion Control of Omnidirectional Mobile Manipulators in the Presence of Noises: A Distributed Approach 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 7, 页码: 1605-1620
作者:  Yufeng Lian;  Xingtian Xiao;  Jiliang Zhang;  Long Jin;  Junzhi Yu;  Zhongbo Sun
Adobe PDF(6691Kb)  |  收藏  |  浏览/下载：36/11  |  提交时间：2024/06/07
Cooperative motion control  noise-tolerant zeroing neural network (NTZNN)  omnidirectional mobile manipulator (OMM)  repetitive 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：45/15  |  提交时间：2024/05/22
Automated optical inspection (AOI)  deep learning  defect detection  printed circuit board assembly (PCBA)  semantic segmentation  
Adaptive Consensus of Uncertain Multi-Agent Systems With Unified Prescribed Performance 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1310-1312
作者:  Kun Li;  Kai Zhao;  Yongduan Song
Adobe PDF(706Kb)  |  收藏  |  浏览/下载：81/23  |  提交时间：2024/04/10
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：66/21  |  提交时间：2024/04/10
Differentiable saturation functions  global stabilization analysis  mixed saturation levels  nested saturated control  uncertain complex cascade systems  
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：73/31  |  提交时间：2024/03/18
Crowd density estimation  linear feature calibration  vision transformer  weakly-supervision learning  
A Tutorial on Federated Learning from Theory to Practice: Foundations, Software Frameworks, Exemplary Use Cases, and Selected Trends 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 824-850
作者:  M. Victoria Luzón;  Nuria Rodríguez-Barroso;  Alberto Argente-Garrido;  Daniel Jiménez-López;  Jose M. Moyano;  Javier Del Ser;  Weiping Ding;  Francisco Herrera
Adobe PDF(4602Kb)  |  收藏  |  浏览/下载：55/17  |  提交时间：2024/03/18
Data privacy  distributed machine learning  federated learning  software frameworks