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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：246/180  |  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)  
Adaptive Multi-Step Evaluation Design With Stability Guarantee for Discrete-Time Optimal Learning Control 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1797-1809
作者:  Ding Wang;  Jiangyu Wang;  Mingming Zhao;  Peng Xin;  Junfei Qiao
Adobe PDF(5140Kb)  |  收藏  |  浏览/下载：131/55  |  提交时间：2023/08/10
Adaptive critic  artificial neural networks  Hamilton-Jacobi-Bellman (HJB) equation  multi-step heuristic dynamic programming  multi-step reinforcement learning  optimal control  
未知非线性零和博弈最优跟踪的事件触发控制设计 期刊论文
自动化学报, 2023, 卷号: 49, 期号: 1, 页码: 91-101
作者:  王鼎;  胡凌治;  赵明明;  哈明鸣;  乔俊飞
Adobe PDF(1996Kb)  |  收藏  |  浏览/下载：4/2  |  提交时间：2024/05/09
自适应评判设计  事件触发控制  神经网络  最优跟踪控制  稳定性分析  零和博弈  
Discounted Iterative Adaptive Critic Designs With Novel Stability Analysis for Tracking Control 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 7, 页码: 1262-1272
作者:  Mingming Ha;  Ding Wang;  Derong Liu
Adobe PDF(1832Kb)  |  收藏  |  浏览/下载：205/68  |  提交时间：2022/06/27
Adaptive critic design  adaptive dynamic programming (ADP)  approximate dynamic programming  discrete-time nonlinear systems  reinforcement learning  stability analysis  tracking control  value iteration (VI)  
Neuro-optimal control for discrete stochastic processes via a novel policy iteration algorithm 期刊论文
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020, 卷号: 50, 期号: 11, 页码: 3972-3985
作者:  Liang, Mingming;  Wang, Ding;  Liu, Derong
浏览  |  Adobe PDF(1604Kb)  |  收藏  |  浏览/下载：194/66  |  提交时间：2020/10/23
Adaptive critic designs  adaptive dynamic programming (ADP)  local policy iteration  neuro-dynamic programming  optimal control  stochastic processes  
Decentralized control for large-scale nonlinear systems with unknown mismatched interconnections via policy iteration 期刊论文
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2018, 卷号: 48, 期号: 10, 页码: 1725-1735
作者:  Zhao B(赵博);  Ding Wang
浏览  |  Adobe PDF(768Kb)  |  收藏  |  浏览/下载：349/95  |  提交时间：2018/10/14
Adaptive Dynamic Programming  Decentralized Control  Large-scale Systems  Neural Networks  
Data-Driven Finite-Horizon Approximate Optimal Control for Discrete-Time Nonlinear Systems Using Iterative HDP Approach 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 48, 期号: 10, 页码: 2948-2961
作者:  Mu, Chaoxu;  Wang, Ding;  He, Haibo
收藏  |  浏览/下载：223/0  |  提交时间：2019/12/16
Adaptive Dynamic Programming (Adp)  Data-driven Control  Finite-horizon Optimal Control  Heuristic Dynamic Programming (Hdp)  Learning Control  Neural Networks  
Connectivity preserved nonlinear time-delayed multiagent systems using neural networks and event-based mechanism 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2018, 卷号: 29, 期号: 9, 页码: 361-369
作者:  Ma, Hongwen;  Wang, Ding;  Ding Wang
浏览  |  Adobe PDF(1038Kb)  |  收藏  |  浏览/下载：410/110  |  提交时间：2017/05/03
Connectivity Preservation  Event-based Control  Multiagent Systems  Neural Networks  
On Mixed Data and Event Driven Design for Adaptive-Critic-Based Nonlinear H-infinity Control 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 4, 页码: 993-1005
作者:  Wang, Ding;  Mu, Chaoxu;  Liu, Derong;  Ma, Hongwen
收藏  |  浏览/下载：187/0  |  提交时间：2018/10/10
Adaptive Critic Designs  Adaptive Dynamic Programming (Adp)  Data Driven Control  Event Driven Control  Hamilton-jacobi-isaacs (Hji) Equation  Neural Network Identification  Nonlinear H-infinity Control  Zero-sum Game  
Manifold Regularized Reinforcement Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 4, 页码: 932-943
作者:  Li, Hongliang;  Liu, Derong;  Wang, Ding
收藏  |  浏览/下载：176/0  |  提交时间：2018/10/10
Adaptive Dynamic Programming  Approximate Dynamic Programming  Approximate Policy Iteration (Api)  Manifold Regularization  Reinforcement Learning (Rl)