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Collective Entity Alignment for Knowledge Fusion of Power Grid Dispatching Knowledge Graphs 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 9, 期号: 11, 页码: 1-15
作者:  Yang, Linyao;  Lv, Chen;  Wang, Xiao;  Qiao, Ji;  Ding, Weiping;  Zhang, Jun;  Wang, Fei-Yue
Adobe PDF(1600Kb)  |  收藏  |  浏览/下载：216/29  |  提交时间：2022/06/15
entity alignment  integer programming  knowledge fusion  knowledge graph embedding  power dispatch  
An Optimal Control Strategy for Multi-UAVs Target Tracking and Cooperative Competition 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 12, 页码: 1931-1947
作者:  Yiguo Yang;  Liefa Liao;  Hong Yang;  Shuai Li
Adobe PDF(5876Kb)  |  收藏  |  浏览/下载：173/42  |  提交时间：2021/09/03
Artificial potential field (APF)  fuzzy control  higher-order differentiator  optimal control strategy  winner-take-all (WTA)  
Adaptive Fuzzy Backstepping Tracking Control for Flexible Robotic Manipulator 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 12, 页码: 1923-1930
作者:  Wanmin Chang;  Yongming Li;  Shaocheng Tong
Adobe PDF(1029Kb)  |  收藏  |  浏览/下载：163/55  |  提交时间：2021/09/03
Actuator saturation  backstepping design  command-filter technique  flexible robotic manipulator  fuzzy adaptive control  
Adaptive Consensus of Non-Strict Feedback Switched Multi-Agent Systems With Input Saturations 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 11, 页码: 1752-1761
作者:  Zhanjie Li;  Jun Zhao
Adobe PDF(1869Kb)  |  收藏  |  浏览/下载：177/56  |  提交时间：2021/09/03
Adaptive consensus  input saturation  non-strict feedback  switched multi-agent systems (MASs)  
Limited-Budget Consensus Design and Analysis for Multiagent Systems With Switching Topologies and Intermittent Communications 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 10, 页码: 1724-1736
作者:  Le Wang;  Jianxiang Xi;  Bo Hou;  Guangbin Liu
Adobe PDF(2554Kb)  |  收藏  |  浏览/下载：181/45  |  提交时间：2021/09/03
Intermittent communication  limited-budget consensus  multiagent system  switching topology  
Reduced-Order Observer-Based Leader-Following Formation Control for Discrete-Time Linear Multi-Agent Systems 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 10, 页码: 1715-1723
作者:  Zhongxin Liu;  Yangbo Li;  Fuyong Wang;  Zengqiang Chen
Adobe PDF(1626Kb)  |  收藏  |  浏览/下载：157/47  |  提交时间：2021/09/03
Discrete-time systems  formation control  leader-following  multi-agent system  reduced-order observer  
Theory and Experiments on Enclosing Control of Multi-Agent Systems 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 10, 页码: 1677-1685
作者:  Yihui Wang;  Yanfei Liu;  Zhong Wang
Adobe PDF(7170Kb)  |  收藏  |  浏览/下载：158/58  |  提交时间：2021/09/03
Cooperative control  directed network topology  enclosing control  leader-following  multi-agent systems  
Vehicle Motion Prediction at Intersections Based on the Turning Intention and Prior Trajectories Model 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 10, 页码: 1657-1666
作者:  Ting Zhang;  Wenjie Song;  Mengyin Fu;  Yi Yang;  Meiling Wang
Adobe PDF(19741Kb)  |  收藏  |  浏览/下载：194/38  |  提交时间：2021/09/03
Autonomous vehicle  intersection  motion prediction  prior trajectories model  turning intention  
A Review on Representative Swarm Intelligence Algorithms for Solving Optimization Problems: Applications and Trends 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 10, 页码: 1627-1643
作者:  Jun Tang;  Gang Liu;  Qingtao Pan
Adobe PDF(5712Kb)  |  收藏  |  浏览/下载：154/38  |  提交时间：2021/09/03
Ant colony optimization (ACO)  artificial bee colony (ABC)  artificial fish swarm (AFS)  bacterial foraging optimization (BFO)  optimization  particle swarm optimization (PSO)  swarm intelligence  
Adaptive Attitude Control for Multi-MUAV Systems With Output Dead-Zone and Actuator Fault 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 9, 页码: 1567-1575
作者:  Guowei Dong;  Liang Cao;  Deyin Yao;  Hongyi Li;  Renquan Lu
Adobe PDF(5912Kb)  |  收藏  |  浏览/下载：187/55  |  提交时间：2021/09/03
Disturbance observer  fault-tolerant control (FTC)  multi multi-rotor unmanned aerial vehicle (multi-MUAV) attitude systems  neural networks (NNs)  output dead-zone