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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:4/3  |  提交时间:2024/05/22
Accelerated projection neurodynamic approach  linear and set constraints  projection operators  smooth and nonsmooth convex optimization  time scaling  
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:34/7  |  提交时间:2024/03/18
Agent-based modeling  computational experiments  cyber-physical-social systems (CPSS)  generative deduction  generative experiments  meta model  
Advancements in Humanoid Robots: A Comprehensive Review and Future Prospects 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 301-328
作者:  Yuchuang Tong;  Haotian Liu;  Zhengtao Zhang
Adobe PDF(7587Kb)  |  收藏  |  浏览/下载:90/16  |  提交时间:2024/01/23
Future trends and challenges  humanoid robots  human-robot interaction  key technologies  potential applications  
Coupled Dynamics and Integrated Control for Position and Attitude Motions of Spacecraft: A Survey 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 12, 页码: 2187-2208
作者:  Feng Zhang;  Guangren Duan
Adobe PDF(1737Kb)  |  收藏  |  浏览/下载:119/41  |  提交时间:2023/10/31
Coupled position and attitude dynamic modeling  integrated position and attitude control  position and attitude coupling analysis  spacecraft  space missions  
An Optimal Control-Based Distributed Reinforcement Learning Framework for A Class of Non-Convex Objective Functionals of the Multi-Agent Network 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2081-2093
作者:  Zhe Chen;  Ning Li
Adobe PDF(3366Kb)  |  收藏  |  浏览/下载:65/25  |  提交时间:2023/09/22
Distributed optimization  multi-agent  optimal control  reinforcement learning (RL)  
Echo State Network With Probabilistic Regularization for Time Series Prediction 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 8, 页码: 1743-1753
作者:  Xiufang Chen;  Mei Liu;  Shuai Li
Adobe PDF(3459Kb)  |  收藏  |  浏览/下载:77/30  |  提交时间:2023/07/20
Echo state network (ESN)  noise  probabilistic regularization  robustness  
Survey on AI and Machine Learning Techniques for Microgrid Energy Management Systems 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 7, 页码: 1513-1529
作者:  Aditya Joshi;  Skieler Capezza;  Ahmad Alhaji;  Mo-Yuen Chow
Adobe PDF(4919Kb)  |  收藏  |  浏览/下载:161/77  |  提交时间:2023/06/14
Consensus  energy management system (EMS)  reinforcement learning  supervised learning  
Kinematic Control of Serial Manipulators Under False Data Injection Attack 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 4, 页码: 1009-1019
作者:  Yinyan Zhang;  Shuai Li
Adobe PDF(2691Kb)  |  收藏  |  浏览/下载:171/57  |  提交时间:2023/03/22
Cyber-physical systems  false data injection attack  manipulators  remote kinematic control  
Resilient Time-Varying Formation-Tracking of Multi-UAV Systems Against Composite Attacks: A Two-Layered Framework 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 4, 页码: 969-984
作者:  Xin Gong;  Michael V. Basin;  Zhiguang Feng;  Tingwen Huang;  Yukang Cui
Adobe PDF(9350Kb)  |  收藏  |  浏览/下载:125/25  |  提交时间:2023/03/22
Composite attacks  multi-UAV systems  resilient control  time-varying formation-tracking  
Online Optimization in Power Systems With High Penetration of Renewable Generation: Advances and Prospects 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 4, 页码: 839-858
作者:  Zhaojian Wang;  Wei Wei;  John Zhen Fu Pang;  Feng Liu;  Bo Yang;  Xinping Guan;  Shengwei Mei
Adobe PDF(2336Kb)  |  收藏  |  浏览/下载:168/31  |  提交时间:2023/03/22
Feedback optimization  Lyapunov optimization  online convex optimization  online optimization  optimization-guided control