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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  
Consensus Control of Multi-Agent Systems With Two-Way Switching Directed Topology 会议论文
, 北京, 2020-12-5
作者:  Wang Xin;  Wei Qinglai;  Song Ruizhuo
Adobe PDF(898Kb)  |  收藏  |  浏览/下载：83/33  |  提交时间：2023/06/28
Data-driven adaptive-critic optimal output regulation towards water level control of boiler-turbine systems 期刊论文
Expert Systems with Applications, 2022, 页码: 117883
作者:  Wei Qinglai;  Wang Xin;  Liu Yu;  Xiong Gang
Adobe PDF(2135Kb)  |  收藏  |  浏览/下载：146/52  |  提交时间：2023/05/23
Optimal synchronization control for multi-agent systems with input saturation: a nonzero-sum game 期刊论文
FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING, 2022, 页码: 10
作者:  Li, Hongyang;  Wei, Qinglai
Adobe PDF(716Kb)  |  收藏  |  浏览/下载：193/46  |  提交时间：2022/06/14
A New Neuro-Optimal Nonlinear Tracking Control Method via Integral Reinforcement Learning with Applications to Nuclear Systems 期刊论文
NEUROCOMPUTING, 2022, 卷号: 483, 页码: 361-369
作者:  Zhong, Weifeng;  Wang, Mengxuan;  Wei, Qinglai;  Lu, Jingwei
收藏  |  浏览/下载：206/0  |  提交时间：2022/06/10
Integral reinforcement learning  Nuclear power reactor  Nonlinear system  Optimal tracking control  Neural networks  
Adaptive Critics for Decentralized Stabilization of Constrained-Input Nonlinear Interconnected Systems 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 页码: 13
作者:  Yang, Xiong;  Zhou, Yingjiang;  Dong, Na;  Wei, Qinglai
收藏  |  浏览/下载：179/0  |  提交时间：2022/01/27
Optimal control  Interconnected systems  Nonlinear systems  Decentralized control  Asymptotic stability  Stability analysis  Artificial neural networks  Adaptive critics  adaptive dynamic programming (ADP)  asymmetric input constraints  decentralized control  reinforcement learning (RL)  
Generalized Actor-Critic Learning Optimal Control in Smart Home Energy Management 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2021, 卷号: 17, 期号: 10, 页码: 6614-6623
作者:  Wei, Qinglai;  Liao, Zehua;  Shi, Guang
Adobe PDF(1229Kb)  |  收藏  |  浏览/下载：257/33  |  提交时间：2021/11/02
Optimal control  Process control  Smart homes  Dynamic programming  Numerical models  Iterative methods  Informatics  Actor-critic learning  adaptive critic designs  adaptive dynamic programming (ADP)  approximate dynamic programming  energy management  optimal control  smart grid  
Adaptive Critic Learning for Constrained Optimal Event-Triggered Control With Discounted Cost 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 1, 页码: 91-104
作者:  Yang, Xiong;  Wei, Qinglai
收藏  |  浏览/下载：174/0  |  提交时间：2021/06/15
Nonlinear systems  Optimal control  Robustness  Cost function  Adaptive systems  Adaptive critic designs (ACDs)  adaptive critic learning (ACL)  adaptive dynamic programming (ADP)  constrained optimal control  event-triggered control (ETC)  reinforcement learning (RL)  
Continuous-Time Distributed Policy Iteration for Multicontroller Nonlinear Systems 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 卷号: 51, 期号: 5, 页码: 2372-2383
作者:  Wei, Qinglai;  Li, Hongyang;  Yang, Xiong;  He, Haibo
Adobe PDF(1246Kb)  |  收藏  |  浏览/下载：224/39  |  提交时间：2021/06/07
Optimal control  Nonlinear systems  Decentralized control  Mathematical model  Convergence  Multi-agent systems  Adaptive dynamic programming (ADP)  approximate dynamic programming  distributed policy iteration  nonlinear systems  optimal control  
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：217/0  |  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)