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Transfer learning for batch process optimal control using LV-PTM and adaptive control strategy 期刊论文
JOURNAL OF PROCESS CONTROL, 2019, 卷号: 81, 页码: 197-208
Authors:  Chu, Fei;  Zhao, Xu;  Yao, Yuan;  Chen, Tao;  Wang, Fuli
Favorite  |  View/Download:3/0  |  Submit date:2019/12/16
Transfer learning  Data-driven  LV-PTM  Optimal control  Adaptive control strategy  
Adaptive cruise control via adaptive dynamic programming with experience replay 期刊论文
SOFT COMPUTING, 2019, 卷号: 23, 期号: 12, 页码: 4131-4144
Authors:  Wang, Bin;  Zhao, Dongbin;  Cheng, Jin
Favorite  |  View/Download:12/0  |  Submit date:2019/07/11
Adaptive cruise control  Adaptive dynamic programming  Experience replay  Reinforcement learning  Neural networks  
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
Authors:  Wang, Ding;  Liu, Derong
Favorite  |  View/Download:7/0  |  Submit date:2019/07/12
Adaptive dynamic programming  event-based design  guaranteed cost control  optimal control  self-learning technique  
Reinforcement learning for robust adaptive control of partially unknown nonlinear systems subject to unmatched uncertainties 期刊论文
INFORMATION SCIENCES, 2018, 卷号: 463, 页码: 307-322
Authors:  Yang, Xiong;  He, Haibo;  Wei, Qinglai;  Luo, Biao
Favorite  |  View/Download:51/0  |  Submit date:2018/10/10
Adaptive Dynamic Programming  Neural Networks  Optimal Control  Reinforcement Learning  Robust Control  Unmatched Uncertainty  
Data-Driven Finite-Horizon Approximate Optimal Control for Discrete-Time Nonlinear Systems Using Iterative HDP Approach 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 48, 期号: 10, 页码: 2948-2961
Authors:  Mu, Chaoxu;  Wang, Ding;  He, Haibo
Favorite  |  View/Download:2/0  |  Submit date:2019/12/16
Adaptive Dynamic Programming (Adp)  Data-driven Control  Finite-horizon Optimal Control  Heuristic Dynamic Programming (Hdp)  Learning Control  Neural Networks  
An adaptive critic approach to event-triggered robust control of nonlinear systems with unmatched uncertainties 期刊论文
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2018, 卷号: 28, 期号: 10, 页码: 3501-3519
Authors:  Yang, Xiong;  He, Haibo;  Wei, Qinglai
Favorite  |  View/Download:44/0  |  Submit date:2018/10/10
Adaptive Critic Approach  Event-triggered Control  Reinforcement Learning  Robust Control  Unmatched Uncertainty  
Adaptive Constrained Optimal Control Design for Data-Based Nonlinear Discrete-Time Systems With Critic-Only Structure 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 6, 页码: 2099-2111
Authors:  Luo, Biao;  Liu, Derong;  Wu, Huai-Ning
View  |  Adobe PDF(1045Kb)  |  Favorite  |  View/Download:81/32  |  Submit date:2018/10/10
Adaptive Control  Adaptive Dynamic Programming  Constraints  Critic-only  Data-based  Optimal Control  Q-learning  
Online Semi-Supervised Learning with Adaptive Vector Quantization 会议论文
, 加拿大, 2018-5-13
Authors:  Yuan-Yuan Shen;  Xu-Yao Zhang;  Cheng-Lin Liu
View  |  Adobe PDF(197Kb)  |  Favorite  |  View/Download:15/1  |  Submit date:2019/12/31
Learning Vector Quantization  Frequency Sensitive Competitive Learning  Adaptive Vector Quantization  Online Learning  Semi-supervised Learning  
Discrete-Time Stable Generalized Self-Learning Optimal Control With Approximation Errors 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 4, 页码: 1226-1238
Authors:  Wei, Qinglai;  Li, Benkai;  Song, Ruizhuo
View  |  Adobe PDF(2475Kb)  |  Favorite  |  View/Download:81/17  |  Submit date:2017/02/23
Adaptive Critic Designs  Adaptive Dynamic Programming (Adp)  Approximate Dynamic Programming  Generalized Policy Iteration (Gpi)  Neural Networks  Neurodynamic Programming  Nonlinear Systems  Optimal Control  Reinforcement Learning  
Manifold Regularized Reinforcement Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 4, 页码: 932-943
Authors:  Li, Hongliang;  Liu, Derong;  Wang, Ding
Favorite  |  View/Download:37/0  |  Submit date:2018/10/10
Adaptive Dynamic Programming  Approximate Dynamic Programming  Approximate Policy Iteration (Api)  Manifold Regularization  Reinforcement Learning (Rl)