中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
自动化研究所 [2]
计算技术研究所 [1]
采集方式
OAI收割 [3]
内容类型
期刊论文 [3]
发表日期
2022 [1]
2020 [2]
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On Designing Learning Control Scheme for Multilayer Supply Chain Networks With Constraints
期刊论文
OAI收割
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 页码: 9
作者:
Xiong, Wenjun
;
Liu, Chen
;
Wen, Guanghui
;
Qiu, Jianlong
;
Xu, Yongjun
  |  
收藏
  |  
浏览/下载:44/0
  |  
提交时间:2022/12/07
Nonhomogeneous media
Convergence
Supply chains
Uncertainty
Stability criteria
Numerical stability
Safety
Constraints
fast convergence speed
learning control scheme
multilayer supply chain networks (SCNs)
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:61/0
  |  
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
Iterative Learning Control for Distributed Parameter Systems Based on Non-Collocated Sensors and Actuators
期刊论文
OAI收割
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 3, 页码: 865-871
作者:
  |  
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2021/03/11
Actuators
distributed parameter system
iterative learning control
PD-type ILC scheme
sensors