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Distributed Coordination for a Class of High-Order Multiagent Systems Subject to Actuator Saturations by Iterative Learning Control
期刊论文
Complexity, 2022, 卷号: 2022
作者:
Yang, Nana
;
Li, Suoping
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2022/04/21
Actuators
Graph theory
Iterative methods
Learning algorithms
Time varying control systems
Two term control systems
Actuator saturations
Coordination problems
Distributed coordination
Distributed coordination control
Distributed learning
High-order
Higher-order
Iterative learning control
Learning protocols
Time-varying parameter uncertainty
Terrestrial carbon cycle model-data fusion: Progress and challenges
期刊论文
SCIENCE CHINA-EARTH SCIENCES, 2021, 页码: 13
作者:
Li, Xin
;
Ma, Hanqing
;
Ran, Youhua
;
Wang, Xufeng
;
Zhu, Gaofeng
收藏
  |  
浏览/下载:46/0
  |  
提交时间:2021/11/05
Carbon cycle
Model-data fusion
Data assimilation
Parameter estimation
Remote sensing
Uncertainty
Estimating Hansen solubility parameters of organic pigments by group contribution methods
期刊论文
CHINESE JOURNAL OF CHEMICAL ENGINEERING, 2021, 卷号: 31, 页码: 186-197
作者:
Enekvist, Markus
;
Liang, Xiaodong
;
Zhang, Xiangping
;
Dam-Johansen, Kim
;
Kontogeorgis, Georgios M.
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  |  
浏览/下载:7/0
  |  
提交时间:2021/08/31
Hansen solubility parameters
Group contribution method
Organic pigments
Computer-aided product design
Parameter estimation
Uncertainty analysis
Globally repetitive learning consensus control of unknown nonlinear multi-agent systems with uncertain time-varying parameters
期刊论文
Applied Mathematical Modelling, 2021, 卷号: 89, 页码: 348-362
作者:
Chen, Jiaxi
;
Li, Junmin
;
Yang, Nana
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  |  
浏览/下载:8/0
  |  
提交时间:2020/11/14
Learning algorithms
Learning systems
Time varying control systems
Uncertainty analysis
Consensus control
Different distributions
Feed-forward compensator
Nonlinear multi-agent systems
Repetitive learning control
Simulation example
Time varying parameter
Unknown nonlinear systems
The improvement of Bootstrap method and its application in structure parameter uncertainty quantification and propagation
期刊论文
Zhendong Gongcheng Xuebao/Journal of Vibration Engineering, 2020, 卷号: 33, 期号: 4, 页码: 679-687
作者:
Luo, Yong-Peng
;
Liu, Jing-Liang
;
Han, Jian-Ping
;
Lu, Si-Ping
;
Huang, Fang-Lin
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  |  
浏览/下载:8/0
  |  
提交时间:2020/11/14
Cable stayed bridges
Data flow analysis
Density functional theory
Distribution functions
Population statistics
Probability density function
Distribution characteristics
Dynamic characteristics
Empirical distribution functions
Response surface modeling
Sensitivity indices
Structure parameter
Uncertain parameters
Uncertainty parameters
The improvement of Bootstrap method and its application in structure parameter uncertainty quantification and propagation
会议论文
作者:
Luo, Yong-Peng
;
Liu, Jing-Liang
;
Han, Jian-Ping
;
Lu, Si-Ping
;
Huang, Fang-Lin
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2020/12/18
Cable stayed bridges
Data flow analysis
Density functional theory
Distribution functions
Population statistics
Probability density functionDistribution characteristics
Dynamic characteristics
Empirical distribution functions
Response surface modeling
Sensitivity indices
Structure parameter
Uncertain parameters
Uncertainty parameters
The improvement of Bootstrap method and its application in structure parameter uncertainty quantification and propagation
期刊论文
Zhendong Gongcheng Xuebao/Journal of Vibration Engineering, 2020, 卷号: 33, 期号: 4, 页码: 679-687
作者:
Luo, Yong-Peng
;
Liu, Jing-Liang
;
Han, Jian-Ping
;
Lu, Si-Ping
;
Huang, Fang-Lin
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2022/02/17
Cable stayed bridges
Data flow analysis
Density functional theory
Distribution functions
Population statistics
Probability density function
Distribution characteristics
Dynamic characteristics
Empirical distribution functions
Response surface modeling
Sensitivity indices
Structure parameter
Uncertain parameters
Uncertainty parameters
Impacts of parameter uncertainties on deep chlorophyll maximum simulation revealed by the CNOP-P approach
期刊论文
JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2020, 页码: 12
作者:
Gao Yongli
;
Mu Mu
;
Zhang Kun
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2020/09/25
deep chlorophyll maximum (DCM) simulation
parameter uncertainty
conditional nonlinear optimal perturbation related to parameters (CNOP-P)
sensitivity
Composite Learning Enhanced Robot Impedance Control
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 3, 页码: 1052-1059
作者:
Sun, Tairen
;
Peng, Liang
;
Cheng, Long
;
Hou, Zeng-Guang
;
Pan, Yongping
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2020/06/02
Impedance
Convergence
Robots
Stability criteria
Uncertainty
Parameter estimation
Adaptive control
composite adaptation
impedance control
learning control
parameter convergence
robot
Design of a Robust Optimal Decentralized PI Controller Based on Nonlinear Constraint Optimization For Level Regulation: An Experimental Study
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 1, 页码: 187-199
作者:
Soumya Ranjan Mahapatro
;
Bidyadhar Subudhi
;
Sandip Ghosh
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2021/03/11
Decentralized control
multivariable system
process control
parameter uncertainty
robustness
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