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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：23/5  |  提交时间：2024/04/10
Observer-Based Adaptive Robust Precision Motion Control of a Multi-Joint Hydraulic Manipulator 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1213-1226
作者:  Zheng Chen;  Shizhao Zhou;  Chong Shen;  Litong Lyu;  Junhui Zhang;  Bin Yao
Adobe PDF(4624Kb)  |  收藏  |  浏览/下载：22/7  |  提交时间：2024/04/10
Hydraulic manipulator  nonlinear adaptive observer  parameter adaptation  robust control  
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
Adobe PDF(11890Kb)  |  收藏  |  浏览/下载：21/4  |  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：12/4  |  提交时间：2024/04/10
Differentiable saturation functions  global stabilization analysis  mixed saturation levels  nested saturated control  uncertain complex cascade systems  
Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An Overview 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1106-1126
作者:  Wenqi Ren;  Yang Tang;  Qiyu Sun;  Chaoqiang Zhao;  Qing-Long Han
Adobe PDF(12695Kb)  |  收藏  |  浏览/下载：12/2  |  提交时间：2024/04/10
Computer vision  deep learning  few-shot learning  low-shot learning  semantic segmentation  zero-shot learning  
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：8/3  |  提交时间：2024/04/10
Evolutionary algorithm (EA)  high-dimensional expensive problems (HEPs)  industrial applications  surrogate-assisted optimization  
Intuitive Human-Robot-Environment Interaction With EMG Signals: A Review 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1075-1091
作者:  Dezhen Xiong;  Daohui Zhang;  Yaqi Chu;  Yiwen Zhao;  Xingang Zhao
Adobe PDF(5061Kb)  |  收藏  |  浏览/下载：11/3  |  提交时间：2024/04/10
Electromyography  human-robot-environment interaction (HREI)  human-robot interaction (HRI)  semiautonomous  sensory feedback  
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：28/7  |  提交时间：2024/03/18
Agent-based modeling  computational experiments  cyber-physical-social systems (CPSS)  generative deduction  generative experiments  meta model  
Cybersecurity Landscape on Remote State Estimation: A Comprehensive Review 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 851-865
作者:  Jing Zhou;  Jun Shang;  Tongwen Chen
Adobe PDF(1169Kb)  |  收藏  |  浏览/下载：17/4  |  提交时间：2024/03/18
Cyber-attacks  Kalman filtering  remote state estimation  unreliable transmission channels  
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：18/5  |  提交时间：2024/03/18
Data privacy  distributed machine learning  federated learning  software frameworks