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Adaptive Q-Learning for Data-Based Optimal Output Regulation With Experience Replay 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 48, 期号: 12, 页码: 3337-3348
Authors:  Luo, Biao;  Yang, Yin;  Liu, Derong
Favorite  |  View/Download:13/0  |  Submit date:2019/01/08
Data-based  experience replay  neural networks (NNs)  off-policy  optimal control  Q-learning (QL)  
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
Authors:  Li, Chao;  Liu, Derong;  Wang, Ding
View  |  Adobe PDF(892Kb)  |  Favorite  |  View/Download:85/27  |  Submit date:2017/05/03
Adaptive Dynamic Programming (Adp)  Neural Networks (Nns)  Optimal Control  Policy Iteration (Pi)  Unknown Dynamics  Weakly Coupled Systems  
Neural networks enhancedadaptive admittance control of optimized robot-environment interaction 期刊论文
IEEE Transactions on Cybernetics, 2018
Authors:  Chenguang Yang;  Guangzhu Peng;  Yanan Li;  Rongxin Cui;  Long Cheng;  Zhijun Li
Favorite  |  View/Download:17/0  |  Submit date:2019/02/14
Admittance control  neural networks (NNs)  observer  optimal adaptive control  robot–environment interaction  
Neural-Learning-Based Telerobot Control With Guaranteed Performance 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2017, 卷号: 47, 期号: 10, 页码: 3148-3159
Authors:  Yang, Chenguang;  Wang, Xinyu;  Cheng, Long;  Ma, Hongbin
View  |  Adobe PDF(3035Kb)  |  Favorite  |  View/Download:63/21  |  Submit date:2018/01/05
Collision Avoidance  Guaranteed Performance  Neural Networks (Nns)  Telerobot Control  
Event-Triggered H-infinity Control for Continuous-Time Nonlinear System via Concurrent Learning 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2017, 卷号: 47, 期号: 7, 页码: 1071-1081
Authors:  Zhang, Qichao;  Zhao, Dongbin;  Zhu, Yuanheng
View  |  Adobe PDF(2937Kb)  |  Favorite  |  View/Download:143/85  |  Submit date:2017/05/04
Concurrent Learning  Event-triggered Control  H-infinity Optimal Control  Neural Networks (Nns)  Zero-sum (Zs) Game  
Discrete-Time Deterministic Q-Learning: A Novel Convergence Analysis 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2017, 卷号: 47, 期号: 5, 页码: 1224-1237
Authors:  Wei, Qinglai;  Lewis, Frank L.;  Sun, Qiuye;  Yan, Pengfei;  Song, Ruizhuo
Favorite  |  View/Download:42/0  |  Submit date:2017/02/23
Adaptive Critic Designs  Adaptive Dynamic Programming (Adp)  Approximate Dynamic Programming  Neural Networks (Nns)  Neuro-dynamic Programming  Optimal Control  Q-learning  
Neural-Network-Based Distributed Adaptive Robust Control for a Class of Nonlinear Multiagent Systems With Time Delays and External Noises 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2016, 卷号: 46, 期号: 6, 页码: 750-758
Authors:  Ma, Hongwen;  Wang, Zhuo;  Wang, Ding;  Liu, Derong;  Yan, Pengfei;  Wei, Qinglai
Adobe PDF(880Kb)  |  Favorite  |  View/Download:103/48  |  Submit date:2016/09/30
Distributed Adaptive Robust Control  Multiagent Systems  Neural Networks (Nns)  Noises  Time Delay  
Reinforcement-Learning-Based Robust Controller Design for Continuous-Time Uncertain Nonlinear Systems Subject to Input Constraints 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2015, 卷号: 45, 期号: 7, 页码: 1372-1385
Authors:  Liu, Derong;  Yang, Xiong;  Wang, Ding;  Wei, Qinglai
View  |  Adobe PDF(1179Kb)  |  Favorite  |  View/Download:119/53  |  Submit date:2015/09/17
Approximate Dynamic Programming (Adp)  Neural Networks (Nns)  Neuro-dynamic Programming  Nonlinear Systems  Optimal Control  Reinforcement Learning (Rl)  Robust Control  
Infinite Horizon Self-Learning Optimal Control of Nonaffine Discrete-Time Nonlinear Systems 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 4, 页码: 866-879
Authors:  Wei, Qinglai;  Liu, Derong;  Yang, Xiong
View  |  Adobe PDF(2408Kb)  |  Favorite  |  View/Download:71/29  |  Submit date:2015/09/21
Adaptive Critic Designs  Adaptive Dynamic Programming (Adp)  Approximate Dynamic Programming  Generalized Policy Iteration  Neural Networks (Nns)  Neurodynamic Programming  Nonlinear Systems  Optimal Control  Reinforcement Learning  
Data-Driven Neuro-Optimal Temperature Control of Water-Gas Shift Reaction Using Stable Iterative Adaptive Dynamic Programming 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2014, 卷号: 61, 期号: 11, 页码: 6399-6408
Authors:  Wei, Qinglai;  Liu, Derong;  Derong Liu
View  |  Adobe PDF(664Kb)  |  Favorite  |  View/Download:40/6  |  Submit date:2015/08/12
Adaptive Critic Designs  Adaptive Dynamic Programming (Adp)  Approximate Dynamic Programming  Approximation Errors  Data-driven Control  Neural Networks (Nns)  Optimal Control  Reinforcement Learning  Water-gas Shift (Wgs)