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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：260/184  |  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)  
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：218/72  |  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)  
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：209/0  |  提交时间：2021/01/07
Adaptive dynamic programming (ADP)  control constraints  convergence analysis  H-infinity tracking  neural network (NN)  optimal control  
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：198/66  |  提交时间：2020/10/23
Adaptive critic designs  adaptive dynamic programming (ADP)  local policy iteration  neuro-dynamic programming  optimal control  stochastic processes  
Event-Triggered Adaptive Critic Control Design for Discrete-Time Constrained Nonlinear Systems 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2020, 卷号: 50, 期号: 9, 页码: 3158-3168
作者:  Ha, Mingming;  Wang, Ding;  Liu, Derong
收藏  |  浏览/下载：166/0  |  提交时间：2020/09/28
Nonlinear systems  Actuators  Discrete-time systems  Dynamic programming  Optimal control  Adaptive systems  Adaptive dynamic programming (ADP)  control constraints  event-triggered control  heuristic dynamic programming (HDP)  neural networks  nonlinear discrete-time system  
Improved value iteration for neural-network-based stochastic optimal control design 期刊论文
NEURAL NETWORKS, 2020, 卷号: 124, 页码: 280-295
作者:  Liang, Mingming;  Wang, Ding;  Liu, Derong
Adobe PDF(5875Kb)  |  收藏  |  浏览/下载：249/55  |  提交时间：2020/06/02
Adaptive critic designs  Adaptive dynamic programming  Neural networks  Optimal control  Stochastic processes  Value iteration  
Adaptive Dynamic Programming with Applications in Optimal Control 专著
Berlin:Springer, 2016
作者:  Liu Derong;  Wei Qinglai;  Wang Ding;  Yang Xiong;  Li Hongliang
收藏  |  浏览/下载：209/0  |  提交时间：2019/10/28
Learning and Guaranteed Cost Control With Event-Based Adaptive Critic Implementation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 12, 页码: 6004-6014
作者:  Wang, Ding;  Liu, Derong
收藏  |  浏览/下载：260/0  |  提交时间：2019/07/12
Adaptive dynamic programming  event-based design  guaranteed cost control  optimal control  self-learning technique  
Neural robust stabilization via event-triggering mechanism and adaptive learning technique 期刊论文
NEURAL NETWORKS, 2018, 卷号: 102, 页码: 27-35
作者:  Wang, Ding;  Liu, Derong
收藏  |  浏览/下载：184/0  |  提交时间：2018/10/10
Adaptive Critic Designs  Adaptive Dynamic Programming  Event-triggered Control  Neural Networks  Robust Stabilization  Uncertainties  
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：181/0  |  提交时间：2018/10/10
Adaptive Dynamic Programming  Approximate Dynamic Programming  Approximate Policy Iteration (Api)  Manifold Regularization  Reinforcement Learning (Rl)