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科研机构
自动化研究所 [3]
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期刊论文 [3]
发表日期
2020 [3]
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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
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
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浏览/下载:50/0
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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
Disturbance observer-based super-twisting sliding mode control for formation tracking of multi-agent mobile robots
期刊论文
MEASUREMENT & CONTROL, 2020, 卷号: 53, 期号: 5-6, 页码: 908-921
作者:
Zhang, Guigang
;
Wang, Yun
;
Wang, Jian
;
Chen, Jiarong
;
Qian, Dianwei
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浏览/下载:39/0
  |  
提交时间:2020/07/20
Mobile robots
formation control
super-twisting sliding mode control
uncertainties
disturbance observer
Disturbance observer–based supertwisting sliding mode control for formation tracking of multi-agent mobile robots
期刊论文
Measurement and Control, 2020, 卷号: 53, 期号: 5-6, 页码: 908-921
作者:
Zhang GG(张桂刚)
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浏览/下载:7/0
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提交时间:2020/11/09
Mobile robots, formation control, super-twisting sliding mode control, uncertainties, disturbance observer
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