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CAS IR Grid
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自动化研究所 [2]
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OAI收割 [2]
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会议论文 [1]
期刊论文 [1]
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2020 [1]
2019 [1]
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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
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
Adaptive Neural Network Time-varying Formation Tracking Control for Multi-agent Systems via Minimal Learning Parameter Approach
会议论文
OAI收割
Budapest, Hungary, July 14-19, 2019
作者:
Xiong Tianyi
;
Pu Zhiqiang
;
Yi Jianqiang
;
Sui Zezhi
  |  
收藏
  |  
浏览/下载:64/0
  |  
提交时间:2019/05/07
Formation Control
Minimal Learning Parameter
Multi-agent System
Neural Network