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科研机构
自动化研究所 [18]
内容类型
期刊论文 [16]
会议论文 [2]
发表日期
2022 [18]
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Optimal Spin Polarization Control for the Spin-Exchange Relaxation-Free System Using Adaptive Dynamic Programming
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 13
作者:
Wang, Ruigang
;
Wang, Zhuo
;
Liu, Sixun
;
Li, Tao
;
Li, Feng
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2023/11/17
3-D spin polarization control (3DSPC)
adaptive dynamic programming (ADP)
asymmetric input constraint
multicritic multiaction neural networks (MCMANNs)
multiphysics
multiplayer nonzero-sum game (MP-NZSG)
spin-exchange relaxation-free (SERF).
A Novel Data-Based Fault-Tolerant Control Method for Multicontroller Linear Systems via Distributed Policy Iteration
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 页码: 11
作者:
Wei, Qinglai
;
Li, Hongyang
;
Li, Tao
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2023/02/22
Fault tolerant systems
Fault tolerance
Linear systems
Control systems
Actuators
Optimal control
Mathematical models
Distributed policy iteration
fault-tolerant control
multicontroller linear systems
optimal control
A Self-Attention-Based Deep Reinforcement Learning Approach for AGV Dispatching Systems
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 12
作者:
Wei, Qinglai
;
Yan, Yutian
;
Zhang, Jie
;
Xiao, Jun
;
Wang, Cong
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2023/01/09
Automated guided vehicle (AGV) dispatching
deep learning
reinforcement learning (RL)
self-attention
A novel iterative adaptive critic design for smart home energy systems with solar energy
会议论文
中国厦门, 2022年11月
作者:
Liao ZH(廖泽华)
;
Wei, Qinglai
;
Li, Hongyang
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2023/06/06
Monte Carlo-based reinforcement learning control for unmanned aerial vehicle systems
期刊论文
NEUROCOMPUTING, 2022, 卷号: 507, 页码: 282-291
作者:
Wei, Qinglai
;
Yang, Zesheng
;
Su, Huaizhong
;
Wang, Lijian
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  |  
浏览/下载:39/0
  |  
提交时间:2022/09/19
Reinforcement learning
Adaptive dynamic programming (ADP)
UAV control
Monte Carlo simulation
Neural networks
Parallel cognition: hybrid intelligence for human-machine interaction and management
期刊论文
FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING, 2022, 页码: 15
作者:
Ye, Peijun
;
Wang, Xiao
;
Zheng, Wenbo
;
Wei, Qinglai
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:43/0
  |  
提交时间:2022/09/19
Cognitive learning
Artificial intelligence
Behavioral prescription
TP181
Optimal Tracking Control for a Discrete Time Nonlinear Nuclear Power System
期刊论文
MATHEMATICAL PROBLEMS IN ENGINEERING, 2022, 卷号: 2022, 页码: 9
作者:
Luan, Zhenhua
;
Wang, Mengxuan
;
Zhang, Yuzhen
;
Wei, Qinglai
;
Zhou, Tianmin
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2023/02/22
Dynamic Event-Sampled Control of Interconnected Nonlinear Systems Using Reinforcement Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:
Yang, Xiong
;
Xu, Mengmeng
;
Wei, Qinglai
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2022/07/25
Asymptotic stability
Interconnected systems
Decentralized control
Closed loop systems
Artificial neural networks
Optimal control
Nonlinear dynamical systems
Adaptive dynamic programming (ADP)
decentralized control
event-based control
interconnected system
reinforcement learning (RL)
Event-Triggered Near-Optimal Control of Discrete-Time Constrained Nonlinear Systems With Application to a Boiler-Turbine System
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2022, 卷号: 18, 期号: 6, 页码: 3926-3935
作者:
Wei, Qinglai
;
Lu, Jingwei
;
Zhou, Tianmin
;
Cheng, Xiang
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2022/06/06
Optimal control
Nonlinear systems
Informatics
Control systems
Performance analysis
Mathematical models
Upper bound
Adaptive dynamic programming (ADP)
boiler-turbine system (BTS)
control constraints
event-triggered
nonlinear optimal control
parallel control
VGN: Value Decomposition With Graph Attention Networks for Multiagent Reinforcement Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 14
作者:
Wei, Qinglai
;
Li, Yugu
;
Zhang, Jie
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2022/07/25
Mathematical models
Task analysis
Games
Q-learning
Neural networks
Behavioral sciences
Training
Deep learning
graph attention networks (GATs)
multiagent systems
reinforcement learning
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