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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
数学与系统科学研究院 [1]
自动化研究所 [1]
采集方式
OAI收割 [2]
内容类型
期刊论文 [2]
发表日期
2020 [1]
2017 [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:51/0
  |  
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
Carbon allowance auction design of China's emissions trading scheme: A multi-agent-based approach
期刊论文
OAI收割
ENERGY POLICY, 2017, 卷号: 102, 页码: 30-40
作者:
Tang, Ling
;
Wu, Jiaqian
;
Yu, Lean
;
Bao, Qin
  |  
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2018/07/30
Emissions trading scheme (ETS)
Carbon auction market
Allowance allocation
Emissions reduction
Multi-agent-based model