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A data-based online reinforcement learning algorithm satisfying probably approximately correct principle 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2015, 卷号: 26, 期号: 4, 页码: 775-787
Authors:  Zhu, Yuanheng;  Zhao, Dongbin
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Reinforcement Learning  Probably Approximately Correct  Kd-tree  
Data-based control, optimization, modeling and applications 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2013, 卷号: 23, 期号: 7-8, 页码: 1839-1842
Authors:  Zhao, Dongbin;  Shen, Yi;  Wang, Zhanshan;  Hu, Xiaolin
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A neural-network-based iterative GDHP approach for solving a class of nonlinear optimal control problems with control constraints 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2013, 卷号: 22, 期号: 2, 页码: 219-227
Authors:  Wang, Ding;  Liu, Derong;  Zhao, Dongbin;  Huang, Yuzhu;  Zhang, Dehua
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Adaptive Critic Designs  Adaptive Dynamic Programming  Approximate Dynamic Programming  Neural Dynamic Programming  Neural Networks  Optimal Control  Reinforcement Learning  
Neural sliding-mode load frequency controller design of power systems 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2013, 卷号: 22, 期号: 2, 页码: 279-286
Authors:  Qian, Dianwei;  Zhao, Dongbin;  Yi, Jianqiang;  Liu, Xiangjie
View  |  Adobe PDF(918Kb)  |  Favorite  |  View/Download:39/5  |  Submit date:2015/08/12
Load Frequency Control  Sliding-mode Control  Governor Dead Band (Gdb)  Compensator Design  Neural Networks