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CAS IR Grid
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过程工程研究所 [1]
自动化研究所 [1]
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OAI收割 [2]
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期刊论文 [2]
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2020 [1]
2009 [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:55/0
  |  
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
Maximum power point tracking of a photovoltaic energy system using neural fuzzy techniques
期刊论文
OAI收割
Journal of Shanghai University(English Edition), 2009, 期号: 01, 页码: 29-36
Li CH(李春华)
;
Zhu XJ(朱新坚)
;
Sui S(隋升)
;
Hu WQ(胡万起)
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2013/12/24
photovoltaic array
boost converter
maximum power point tracking(MPPT)
neural fuzzy controller(NFC)
radial basis function neural networks(RBFNN)