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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：207/0  |  提交时间：2021/01/07
Adaptive dynamic programming (ADP)  control constraints  convergence analysis  H-infinity tracking  neural network (NN)  optimal control  
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：162/0  |  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  
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：209/0  |  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  
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：258/0  |  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：183/0  |  提交时间：2018/10/10
Adaptive Critic Designs  Adaptive Dynamic Programming  Event-triggered Control  Neural Networks  Robust Stabilization  Uncertainties  
Policy Iteration for H infinity Optimal Control of Polynomial Nonlinear Systems via Sum of Squares Programming 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 48, 期号: 2, 页码: 500-509
作者:  Zhu, Yuanheng;  Zhao, Dongbin;  Yang, Xiong;  Zhang, Qichao
Adobe PDF(892Kb)  |  收藏  |  浏览/下载：294/39  |  提交时间：2018/10/10
Adaptive Dynamic Programming (Adp)  h Infinity Optimal Control  Policy Iteration (Pi)  Polynomial Nonlinear Systems  Sum Of Squares (Sos)  
Policy Iteration Algorithm Based Fault Tolerant Tracking Control: An Implementation on Reconfigurable Manipulators 期刊论文
JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2018, 卷号: 13, 期号: 4, 页码: 1739-1750
作者:  Li, Yuanchun;  Xia, Hongbing;  Zhao, Bo
浏览  |  Adobe PDF(708Kb)  |  收藏  |  浏览/下载：346/57  |  提交时间：2018/10/10
Adaptive dynamic programming  Policy iteration  Fault tolerant tracking control  Reconfigurable manipulators  Neural network  
Bounded robust control design for uncertain nonlinear systems using single-network adaptive dynamic programming 期刊论文
NEUROCOMPUTING, 2017, 卷号: 266, 页码: 128-140
作者:  Huang, Yuzhu;  Wang, Ding;  Liu, Derong
Adobe PDF(1876Kb)  |  收藏  |  浏览/下载：338/89  |  提交时间：2018/03/03
Neural Networks  Optimal Control  Adaptive Dynamic Programming  Bounded Robust Control  Uncertain Nonlinear Systems  
A novel neural optimal control framework with nonlinear dynamics: Closed-loop stability and simulation verification 期刊论文
NEUROCOMPUTING, 2017, 卷号: 266, 页码: 353-360
作者:  Wang, Ding;  Mu, Chaoxu
Adobe PDF(1503Kb)  |  收藏  |  浏览/下载：313/68  |  提交时间：2018/03/03
Adaptive Dynamic Programming  Adaptive System  Learning Control  Neural Network  Optimal Regulator  Stability  
Comprehensive comparison of online ADP algorithms for continuous-time optimal control 期刊论文
ARTIFICIAL INTELLIGENCE REVIEW, 2018, 卷号: 49, 期号: 4, 页码: 531-547
作者:  Zhu, Yuanheng;  Zhao, Dongbin
Adobe PDF(766Kb)  |  收藏  |  浏览/下载：411/183  |  提交时间：2017/09/13
Adaptive Dynamic Programming  Policy Iteration  Integral Reinforcement Learning  Experience Replay  Off-policy