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CASIA OpenIR
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Multistep Look-Ahead Policy Iteration for Optimal Control of Discrete-Time Nonlinear Systems With Isoperimetric Constraints 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 页码: 13
作者:  Li, Tao;  Wei, Qinglai;  Wang, Fei-Yue
收藏  |  浏览/下载：45/0  |  提交时间：2024/02/22
Performance analysis  Optimal control  Dynamic programming  Iterative algorithms  Upper bound  Measurement  Convergence  Adaptive dynamic programming (ADP)  isoperimetric constraints  nonlinear systems  optimal control  policy iteration  
Robust Optimal Parallel Tracking Control Based on Adaptive Dynamic Programming 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2023, 页码: 14
作者:  Wei, Qinglai;  Jiao, Shanshan;  Wang, Fei-Yue;  Dong, Qi
收藏  |  浏览/下载：103/0  |  提交时间：2023/12/21
Optimal control  Control systems  Uncertainty  Robust control  Performance analysis  Dynamic programming  Uncertain systems  ADP  NN  nonlinear robust optimal control  parallel control  tracking control  
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;  Guo, Zhiwu;  Ling, Jun
收藏  |  浏览/下载：187/0  |  提交时间：2023/02/22
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
收藏  |  浏览/下载：211/0  |  提交时间：2022/09/19
Reinforcement learning  Adaptive dynamic programming (ADP)  UAV control  Monte Carlo simulation  Neural networks  
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：218/0  |  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