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A New Approach to Finite-Horizon Optimal Control for Discrete-Time Affine Nonlinear Systems via a Pseudolinear Method 期刊论文
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2022, 卷号: 67, 期号: 5, 页码: 2610-2617
作者:  Wei, Qinglai;  Zhu, Liao;  Li, Tao;  Liu, Derong
收藏  |  浏览/下载：217/0  |  提交时间：2022/07/25
Time-varying systems  Nonlinear systems  Optimal control  Heuristic algorithms  Dynamic programming  Neural networks  Linear systems  Adaptive dynamic programming  approximate dynamic programming  finite horizon  nonlinear systems  optimal control  pseudolinear approximation  
Model-Free Adaptive Optimal Control for Unknown Nonlinear Multiplayer Nonzero-Sum Game 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 2, 页码: 879-892
作者:  Wei, Qinglai;  Zhu, Liao;  Song, Ruizhuo;  Zhang, Pinjia;  Liu, Derong;  Xiao, Jun
收藏  |  浏览/下载：252/0  |  提交时间：2022/03/17
Heuristic algorithms  Nonlinear systems  Optimal control  Mathematical model  Dynamic programming  Games  Adaptive systems  Adaptive dynamic programming (ADP)  globalized dual-heuristic dynamic programming (GDHP)  multiplayer nonzero-sum game (MP-NZSG)  neural network (NN)  
Learning Control for Air Conditioning Systems via Human Expressions 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2021, 卷号: 68, 期号: 8, 页码: 7662-7671
作者:  Wei, Qinglai;  Li, Tao;  Liu, Derong
Adobe PDF(1354Kb)  |  收藏  |  浏览/下载：222/1  |  提交时间：2021/06/15
Adaptive dynamic programming  air conditioning control  deep learning (DL)  deep Q-network (DQN)  human expressions  optimal control  reinforcement learning (RL)  Q-learning  
Adaptive Dynamic Programming for Control: A Survey and Recent Advances 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 1, 页码: 142-160
作者:  Liu, Derong;  Xue, Shan;  Zhao, Bo;  Luo, Biao;  Wei, Qinglai
收藏  |  浏览/下载：223/0  |  提交时间：2021/03/08
Adaptive critic designs (ACDs)  adaptive dynamic programming  approximate dynamic programming  intelligent control  learning control  neural dynamic programming  neuro-dynamic programming  optimal control  reinforcement learning (RL)  
An echo state network based approach to room classification of office buildings 期刊论文
NEUROCOMPUTING, 2019, 卷号: 333, 页码: 319-328
作者:  Shi, Guang;  Zhao, Bo;  Li, Chao;  Wei, Qinglai;  Liu, Derong
收藏  |  浏览/下载：310/0  |  提交时间：2019/07/12
Power consumption  Room classification  Echo state networks  Neural networks