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基于折扣广义值迭代的智能最优跟踪及应用验证 期刊论文
自动化学报, 2022, 卷号: 48, 期号: 1, 页码: 182-193
作者:  王鼎;  赵明明;  哈明鸣;  乔俊飞
Adobe PDF(2055Kb)  |  收藏  |  浏览/下载：9/4  |  提交时间：2024/05/20
自适应评判控制  可容许性  广义值迭代  智能最优跟踪  神经网络  
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：31/13  |  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：272/185  |  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：150/60  |  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：228/76  |  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)  
Self-Learning Robust Control Synthesis and Trajectory Tracking of Uncertain Dynamics 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 卷号: 52, 期号: 1, 页码: 278-286
作者:  Wang, Ding;  Cheng, Long;  Yan, Jun
收藏  |  浏览/下载：239/0  |  提交时间：2022/03/17
Robust control  Optimal control  Cost function  Trajectory tracking  Nonlinear systems  Feedback control  Dynamical systems  Adaptive critic learning  control synthesis  neural networks  optimization  robust stabilization  tracking design  
Adaptive Decentralized Asymptotic Tracking Control for Large-Scale Nonlinear Systems With Unknown Strong Interconnections 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 1, 页码: 173-186
作者:  Ben Niu;  Jidong Liu;  Ding Wang;  Xudong Zhao;  Huanqing Wang
Adobe PDF(3586Kb)  |  收藏  |  浏览/下载：248/44  |  提交时间：2021/11/03
Adaptive decentralized control  asymptotic tracking control  large-scale nonlinear systems  unknown strong interconnections  
Asymptotically stable critic designs for approximate optimal stabilization of nonlinear systems subject to mismatched external disturbances 期刊论文
NEUROCOMPUTING, 2020, 卷号: 396, 页码: 201-208
作者:  Zhao, Bo;  Shi, Guang;  Wang, Ding
收藏  |  浏览/下载：236/0  |  提交时间：2020/07/06
Adaptive dynamic programming  Adaptive critic designs  Mismatched external disturbances  Disturbance observer  Optimal control  Neural networks  Nested tuning law  
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：167/0  |  提交时间：2019/12/16
Adaptive critic design  neural networks  optimal control  robust trajectory tracking  self-learning control  system uncertainty  
A Novel Neural-Network-Based Adaptive Control Scheme for Output-Constrained Stochastic Switched Nonlinear Systems 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2019, 卷号: 49, 期号: 2, 页码: 418-432
作者:  Niu, Ben;  Wang, Ding;  Li, Huan;  Xie, Xuejun;  Alotaibi, Naif D.;  Alsaadi, Fuad E.
收藏  |  浏览/下载：267/0  |  提交时间：2019/07/12
Adaptive control  neural network (NN)  nonlinear mapping  output constraints  stochastic switched systems