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Reinforcement Learning-Based Optimal Stabilization for Unknown Nonlinear Systems Subject to Inputs With Uncertain Constraints 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 10, 页码: 4330-4340
作者:  Zhao, Bo;  Liu, Derong;  Luo, Chaomin
收藏  |  浏览/下载：185/0  |  提交时间：2021/01/07
Nonlinear systems  Optimal control  Artificial neural networks  Actuators  Observers  Feedforward systems  Adaptive dynamic programming (ADP)  neural networks (NNs)  optimal control  reinforcement learning (RL)  uncertain input constraints  unknown nonlinear systems  
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：325/56  |  提交时间：2018/10/10
Adaptive dynamic programming  Policy iteration  Fault tolerant tracking control  Reconfigurable manipulators  Neural network  
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：180/0  |  提交时间：2018/10/10
Adaptive Critic Designs  Adaptive Dynamic Programming  Event-triggered Control  Neural Networks  Robust Stabilization  Uncertainties  
Data-Based Optimal Control for Weakly Coupled Nonlinear Systems Using Policy Iteration 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2018, 卷号: 48, 期号: 4, 页码: 511-521
作者:  Li, Chao;  Liu, Derong;  Wang, Ding
浏览  |  Adobe PDF(892Kb)  |  收藏  |  浏览/下载：864/571  |  提交时间：2017/05/03
Adaptive Dynamic Programming (Adp)  Neural Networks (Nns)  Optimal Control  Policy Iteration (Pi)  Unknown Dynamics  Weakly Coupled Systems  
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：398/180  |  提交时间：2017/09/13
Adaptive Dynamic Programming  Policy Iteration  Integral Reinforcement Learning  Experience Replay  Off-policy  
Neural network robust tracking control with adaptive critic framework for uncertain nonlinear systems 期刊论文
NEURAL NETWORKS, 2018, 卷号: 97, 页码: 11-18
作者:  Wang, Ding;  Liu, Derong;  Zhang, Yun;  Li, Hongyi
收藏  |  浏览/下载：197/0  |  提交时间：2018/10/10
Adaptive Critic Designs  Dynamical Uncertainty  Learning Systems  Neural Networks  Optimal Control  Robust Tracking Control  
Distributed algorithm for dissensus of a class of networked multiagent systems using output information 期刊论文
SOFT COMPUTING, 2018, 卷号: 22, 期号: 1, 页码: 273-282
作者:  Ma, Hongwen;  Liu, Derong;  Wang, Ding;  Yang, Xiong;  Li, Hongliang;  Derong Liu
浏览  |  Adobe PDF(925Kb)  |  收藏  |  浏览/下载：379/141  |  提交时间：2017/05/03
Distributed Control  Dissensus  Multiagent Systems  Output Feedback  
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：293/62  |  提交时间：2018/03/03
Adaptive Dynamic Programming  Adaptive System  Learning Control  Neural Network  Optimal Regulator  Stability  
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：321/84  |  提交时间：2018/03/03
Neural Networks  Optimal Control  Adaptive Dynamic Programming  Bounded Robust Control  Uncertain Nonlinear Systems  
Multi-step heuristic dynamic programming for optimal control of nonlinear discrete-time systems 期刊论文
INFORMATION SCIENCES, 2017, 卷号: 411, 期号: 0, 页码: 66-83
作者:  Luo, Biao;  Liu, Derong;  Huang, Tingwen;  Yang, Xiong;  Ma, Hongwen
浏览  |  Adobe PDF(1092Kb)  |  收藏  |  浏览/下载：368/124  |  提交时间：2017/09/12
Optimal Control  Multi-step Heuristic Dynamic Programming  Adaptive Dynamic Programming  Nonlinear Systems  Discrete-time  Neural Networks