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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：49/17  |  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  
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：294/196  |  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：167/63  |  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  
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：246/84  |  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：220/73  |  提交时间：2020/10/23
Adaptive critic designs  adaptive dynamic programming (ADP)  local policy iteration  neuro-dynamic programming  optimal control  stochastic processes  
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：271/59  |  提交时间：2020/06/02
Adaptive critic designs  Adaptive dynamic programming  Neural networks  Optimal control  Stochastic processes  Value iteration  
Adaptive-Critic-Based Robust Trajectory Tracking of Uncertain Dynamics and Its Application to a Spring-Mass-Damper System 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2018, 卷号: 65, 期号: 1, 页码: 654-663
作者:  Wang, Ding;  Mu, Chaoxu
收藏  |  浏览/下载：180/0  |  提交时间：2019/12/16
Adaptive critic design  neural networks  optimal control  robust trajectory tracking  self-learning control  system uncertainty  
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：284/0  |  提交时间：2019/07/12
Adaptive dynamic programming  event-based design  guaranteed cost control  optimal control  self-learning technique  
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：390/109  |  提交时间：2018/10/14
Adaptive Dynamic Programming  Decentralized Control  Large-scale Systems  Neural Networks  
Neural Network Learning and Robust Stabilization of Nonlinear Systems With Dynamic Uncertainties 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 4, 页码: 1342-1351
作者:  Wang, Ding;  Liu, Derong;  Mu, Chaoxu;  Zhang, Yun
收藏  |  浏览/下载：156/0  |  提交时间：2018/10/10
Adaptive Critic  Dynamical Uncertainty  Learning Systems  Neural Networks  Optimal Control  Robust Stabilization