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Adaptive near-optimal controllers for non-linear decentralised feedback stabilisation problems 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2017, 卷号: 11, 期号: 6, 页码: 799-806
作者:  Wang, Ding;  He, Haibo;  Zhao, Bo;  Liu, Derong
Adobe PDF(3178Kb)  |  收藏  |  浏览/下载：366/106  |  提交时间：2017/07/18
Adaptive Control  Optimal Control  Continuous Time Systems  Nonlinear Control Systems  Decentralised Control  Feedback  Stability  Control System Synthesis  Adaptive-critic-based Near-optimal Controller  Continuous-time Nonlinear Decentralised Feedback Stabilisation Problem  Decentralised Feedback Control Problem  Updating Rule  Approximation Property  Learning Mechanism  
Optimization of electricity consumption in office buildings based on adaptive dynamic programming 期刊论文
SOFT COMPUTING, 2017, 卷号: 21, 期号: 21, 页码: 6369-6379
作者:  Shi, Guang;  Wei, Qinglai;  Liu, Derong
浏览  |  Adobe PDF(1611Kb)  |  收藏  |  浏览/下载：473/194  |  提交时间：2017/02/23
Office Buildings  Electricity Consumption Optimization  Battery Management  Optimal Control  Adaptive Dynamic Programming  Neural Networks  
A novel policy iteration based deterministic Q-learning for discrete-time nonlinear systems 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2015, 卷号: 58, 期号: 12, 页码: 122203:1–122203:15
作者:  Wei QingLai;  Liu DeRong;  Derong Liu
浏览  |  Adobe PDF(1215Kb)  |  收藏  |  浏览/下载：333/134  |  提交时间：2016/03/19
Adaptive Critic Designs  Adaptive Dynamic Programming  Approximate Dynamic Programming  Q-learning  Policy Iteration  Neural Networks  Nonlinear Systems  Optimal Control  
Generalized Policy Iteration Adaptive Dynamic Programming for Discrete-Time Nonlinear Systems 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2015, 卷号: 45, 期号: 12, 页码: 1577-1591
作者:  Liu, Derong;  Wei, Qinglai;  Yan, Pengfei
浏览  |  Adobe PDF(1540Kb)  |  收藏  |  浏览/下载：262/79  |  提交时间：2016/03/19
Adaptive Critic Designs  Adaptive Dynamic Programming (Adp)  Approximate Dynamic Programming  Generalized Policy Iteration  Neural Networks  Neuro-dynamic Programming  Nonlinear Systems  Optimal Control  Reinforcement Learning