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Chinese Academy of Sciences Institutional Repositories Grid
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Finite-time Prescribed Performance Time-Varying Formation Control for Second-Order Multi-Agent Systems With Non-Strict Feedback Based on a Neural Network Observer 期刊论文  OAI收割
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 1039-1050
作者:  
Chi Ma;  Dianbiao Dong
  |  收藏  |  浏览/下载:12/0  |  提交时间:2024/03/18
Adaptive Event-triggered Time-varying Output Group Formation Containment Control of Heterogeneous Multiagent Systems 期刊论文  OAI收割
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1398-1409
作者:  
Lihong Feng;  Bonan Huang;  Jiayue Sun;  Qiuye Sun;  Xiangpeng Xie
  |  收藏  |  浏览/下载:11/0  |  提交时间:2024/05/22
Resilient Time-Varying Formation-Tracking of Multi-UAV Systems Against Composite Attacks: A Two-Layered Framework 期刊论文  OAI收割
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
  |  收藏  |  浏览/下载:18/0  |  提交时间:2023/03/22
Fixed-time observer based adaptive neural network time-varying formation tracking control for multi-agent systems via minimal learning parameter approach 期刊论文  OAI收割
IET CONTROL THEORY AND APPLICATIONS, 2020, 卷号: 14, 期号: 9, 页码: 1147-1157
作者:  
Xiong, Tianyi;  Pu, Zhiqiang;  Yi, Jianqiang;  Tao, Xinlong
  |  收藏  |  浏览/下载:47/0  |  提交时间:2020/07/06
neurocontrollers  multi-agent systems  Lyapunov methods  closed loop systems  nonlinear control systems  time-varying systems  adaptive control  observers  uncertain systems  position control  radial basis function networks  robust control  control system synthesis  learning (artificial intelligence)  minimal learning-parameter approach  fixed-time CLSO  time-varying formation tracking problem  formation tracking control scheme  multiagent systems  time-varying formation tracking control problem  model uncertainties  velocity measurements  radial basis function neural networks  fixed-time cascaded leader state observer  fixed-time observer-based adaptive neural network time-varying formation tracking control  RBFNN-based adaptive control scheme