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A Tutorial on Quantized Feedback Control 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 5-17
作者:  Minyue Fu
Adobe PDF(1750Kb)  |  收藏  |  浏览/下载:162/116  |  提交时间:2024/01/02
Consensus control  high-precision control  networked control  quantized estimation  quantized feedback control  robust control  
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:7/3  |  提交时间:2024/04/10
Evolutionary algorithm (EA)  high-dimensional expensive problems (HEPs)  industrial applications  surrogate-assisted optimization  
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:95/32  |  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  
Enhancing Iterative Learning Control With Fractional Power Update Law 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 5, 页码: 1137-1149
作者:  Zihan Li;  Dong Shen;  Xinghuo Yu
Adobe PDF(2070Kb)  |  收藏  |  浏览/下载:97/32  |  提交时间:2023/04/26
Asymptotic convergence  convergence rate  finite-iteration tracking  fractional power learning rule  limit cycles  
Lyapunov-Based Output Containment Control of Heterogeneous Multi-Agent Systems With Markovian Switching Topologies and Distributed Delays 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1421-1433
作者:  Haihua Guo;  Min Meng;  Gang Feng
Adobe PDF(2806Kb)  |  收藏  |  浏览/下载:65/23  |  提交时间:2023/05/29
Heterogeneous multi-agent systems  Lyapunov method  Markovian switching topologies  output containment control  time delays  
Novel Criteria on Finite-Time Stability of Impulsive Stochastic Nonlinear Systems 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 7, 页码: 1634-1636
作者:  Lanfeng Hua;  Hong Zhu;  Shouming Zhong;  Kaibo Shi;  Jinde Cao
Adobe PDF(447Kb)  |  收藏  |  浏览/下载:52/22  |  提交时间:2023/06/14
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:148/26  |  提交时间:2023/03/22
Feedback optimization  Lyapunov optimization  online convex optimization  online optimization  optimization-guided control  
Position Errors and Interference Prediction-Based Trajectory Tracking for Snake Robots 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1810-1821
作者:  Dongfang Li;  Yilong Zhang;  Ping Li;  Rob Law;  Zhengrong Xiang;  Xin Xu;  Limin Zhu;  Edmond Q. Wu
Adobe PDF(19961Kb)  |  收藏  |  浏览/下载:103/28  |  提交时间:2023/08/10
Anti-sideslip  compensation  snake robot  trajectory tracking  
Constrained Moving Path Following Control for UAV With Robust Control Barrier Function 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 7, 页码: 1557-1570
作者:  Zewei Zheng;  Jiazhe Li;  Zhiyuan Guan;  Zongyu Zuo
Adobe PDF(8472Kb)  |  收藏  |  浏览/下载:84/31  |  提交时间:2023/06/14
Moving path following (MPF)  robust control barrier function  safety margin  shipboard landing  unmanned aerial vehicle (UAV)  
Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1361-1387
作者:  Sibo Cheng;  César Quilodrán-Casas;  Said Ouala;  Alban Farchi;  Che Liu;  Pierre Tandeo;  Ronan Fablet;  Didier Lucor;  Bertrand Iooss;  Julien Brajard;  Dunhui Xiao;  Tijana Janjic;  Weiping Ding;  Yike Guo;  Alberto Carrassi;  Marc Bocquet;  Rossella Arcucci
Adobe PDF(17725Kb)  |  收藏  |  浏览/下载:85/28  |  提交时间:2023/05/29
Data assimilation (DA)  deep learning  machine learning (ML)  reduced-order-modelling  uncertainty quantification (UQ)