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CASIA OpenIR

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Online Off-Policy Reinforcement Learning for Optimal Control of Unknown Nonlinear Systems Using Neural Networks 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2024, 页码: 11
作者:  Zhu, Liao;  Wei, Qinglai;  Guo, Ping
收藏  |  浏览/下载：4/0  |  提交时间：2024/07/03
Adaptive dynamic programming  nonlinear systems  online learning  optimal control  reinforcement learning (RL)  
Nearly optimal stabilization of unknown continuous-time nonlinear systems: A new parallel control approach 期刊论文
NEUROCOMPUTING, 2024, 卷号: 578, 页码: 12
作者:  Lu, Jingwei;  Wang, Xingxia;  Wei, Qinglai;  Wang, Fei-Yue
收藏  |  浏览/下载：2/0  |  提交时间：2024/07/03
Adaptive dynamic programming (ADP)  Integral reinforcement learning (IRL)  Nearly optimal control  Nonaffine nonlinearity  Parallel control  Unknown nonlinear systems  
Online Adaptive Dynamic Programming for Optimal Self-Learning Control of VTOL Aircraft Systems With Disturbances 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2024, 卷号: 21, 期号: 1, 页码: 343-352
作者:  Wei, Qinglai;  Yang, Zesheng;  Su, Huaizhong;  Wang, Lijian
收藏  |  浏览/下载：4/0  |  提交时间：2024/07/03
Adaptive dynamic programming (ADP)  VTOL aircraft system  policy iteration  neural network (NN)  optimal control  iterative errors  
Synergetic Learning Neuro-Control for Unknown Affine Nonlinear Systems With Asymptotic Stability Guarantees 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024, 页码: 11
作者:  Zhu, Liao;  Wei, Qinglai;  Guo, Ping
收藏  |  浏览/下载：5/0  |  提交时间：2024/07/03
Approximate dynamic programming (ADP)  neural network  off-policy  optimal control  reinforcement learning (RL)  
Constrained-cost adaptive dynamic programming for optimal control of discrete-time nonlinear systems 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 卷号: 35, 期号: 3, 页码: 3251 - 3264
作者:  Wei, Qinglai;  Li, Tao
Adobe PDF(8471Kb)  |  收藏  |  浏览/下载：50/18  |  提交时间：2024/05/28
Adaptive dynamic programming  approximate dynamic programming  constrained cost  optimal control  reinforcement learning  
Optimal Strategy for Aircraft Pursuit-evasion Games via Self-play Iteration 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 585-596
作者:  Xin Wang;  Qing-Lai Wei;  Tao Li;  Jie Zhang
Adobe PDF(1750Kb)  |  收藏  |  浏览/下载：57/19  |  提交时间：2024/05/23
Differential games, pursuit-evasion games, nonlinear control, optimal control, Nash equilibrium solution  
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, 卷号: 54, 期号: 3, 页码: 1414-1426
作者:  Li, Tao;  Wei, Qinglai;  Wang, Fei-Yue
Adobe PDF(784Kb)  |  收藏  |  浏览/下载：113/19  |  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  
Sequential Inverse Optimal Control of Discrete-Time Systems 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 608-621
作者:  Sheng Cao;  Zhiwei Luo;  Changqin Quan
Adobe PDF(2127Kb)  |  收藏  |  浏览/下载：43/18  |  提交时间：2024/02/19
Inverse optimal control  promised calculation step  sequential calculation  
Adaptive Optimal Output Regulation of Interconnected Singularly Perturbed Systems With Application to Power Systems 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 595-607
作者:  Jianguo Zhao;  Chunyu Yang;  Weinan Gao;  Linna Zhou;  Xiaomin Liu
Adobe PDF(2409Kb)  |  收藏  |  浏览/下载：91/38  |  提交时间：2024/02/19
Adaptive optimal control  decentralized control  output regulation  reinforcement learning (RL)  singularly perturbed systems (SPSs)  
Recent Progress in Reinforcement Learning and Adaptive Dynamic Programming for Advanced Control Applications 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 18-36
作者:  Ding Wang;  Ning Gao;  Derong Liu;  Jinna Li;  Frank L. Lewis
Adobe PDF(1945Kb)  |  收藏  |  浏览/下载：300/198  |  提交时间：2024/01/02
Adaptive dynamic programming (ADP)  advanced control  complex environment  data-driven control  event-triggered design  intelligent control  neural networks  nonlinear systems  optimal control  reinforcement learning (RL)