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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：268/0  |  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)  
Model-Free H-infinity Optimal Tracking Control of Constrained Nonlinear Systems via an Iterative Adaptive Learning Algorithm 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2020, 卷号: 50, 期号: 11, 页码: 4097-4108
作者:  Hou, Jiaxu;  Wang, Ding;  Liu, Derong;  Zhang, Yun
收藏  |  浏览/下载：225/0  |  提交时间：2021/01/07
Adaptive dynamic programming (ADP)  control constraints  convergence analysis  H-infinity tracking  neural network (NN)  optimal control  
Reinforcement Learning-Based Optimal Stabilization for Unknown Nonlinear Systems Subject to Inputs With Uncertain Constraints 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 10, 页码: 4330-4340
作者:  Zhao, Bo;  Liu, Derong;  Luo, Chaomin
收藏  |  浏览/下载：224/0  |  提交时间：2021/01/07
Nonlinear systems  Optimal control  Artificial neural networks  Actuators  Observers  Feedforward systems  Adaptive dynamic programming (ADP)  neural networks (NNs)  optimal control  reinforcement learning (RL)  uncertain input constraints  unknown nonlinear systems  
Parallel Control for Optimal Tracking via Adaptive Dynamic Programming 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2020, 卷号: 7, 期号: 6, 页码: 1662-1674
作者:  Lu, Jingwei;  Wei, Qinglai;  Wang, Fei-Yue
浏览  |  Adobe PDF(7214Kb)  |  收藏  |  浏览/下载：347/61  |  提交时间：2021/01/06
Adaptive dynamic programming (ADP)  nonlinear optimal control  parallel controller  parallel control theory  parallel system  tracking control  neural network (NN)  
Event-Triggered Adaptive Dynamic Programming for Zero-Sum Game of Partially Unknown Continuous-Time Nonlinear Systems 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2020, 卷号: 50, 期号: 9, 页码: 3189-3199
作者:  Xue, Shan;  Luo, Biao;  Liu, Derong
收藏  |  浏览/下载：251/0  |  提交时间：2020/09/28
Adaptive dynamic programming (ADP)  event-triggered control  Hamilton-Jacobi-Isaacs (HJI) equation  neural network (NN) identifier  zero-sum (ZS) game  
Event-Triggered Decentralized Tracking Control of Modular Reconfigurable Robots Through Adaptive Dynamic Programming 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2020, 卷号: 67, 期号: 4, 页码: 3054-3064
作者:  Zhao, Bo;  Liu, Derong
收藏  |  浏览/下载：266/0  |  提交时间：2020/03/30
Decentralized control  Couplings  Optimal control  Robots  Dynamic programming  Artificial neural networks  Trajectory  Adaptive dynamic programming  decentralized tracking control  event-triggered mechanism  modular reconfigurable robots  optimal control  reinforcement learning  
Control-Limited Adaptive Dynamic Programming for Multi-Battery Energy Storage Systems 期刊论文
IEEE TRANSACTIONS ON SMART GRID, 2019, 卷号: 10, 期号: 4, 页码: 4235-4244
作者:  Zhu, Yuanheng;  Zhao, Dongbin;  Li, Xiangjun;  Wang, Ding
Adobe PDF(973Kb)  |  收藏  |  浏览/下载：293/8  |  提交时间：2019/09/30
Microgrid  energy storage system  multi-battery management system  adaptive dynamic programming  control-limited optimization  
Data-Based Reinforcement Learning for Nonzero-Sum Games With Unknown Drift Dynamics 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 卷号: 49, 期号: 8, 页码: 2874-2885
作者:  Zhang, Qichao;  Zhao, Dongbin
浏览  |  Adobe PDF(1021Kb)  |  收藏  |  浏览/下载：446/131  |  提交时间：2019/07/12
Integral reinforcement learning (IRL)  neural network (NN)  nonzero-sum (NZS) games  off-policy  single-critic  unknown drift dynamics  
Adaptive Q-Learning for Data-Based Optimal Output Regulation With Experience Replay 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 48, 期号: 12, 页码: 3337-3348
作者:  Luo, Biao;  Yang, Yin;  Liu, Derong
收藏  |  浏览/下载：317/0  |  提交时间：2019/01/08
Data-based  experience replay  neural networks (NNs)  off-policy  optimal control  Q-learning (QL)