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Iterative Adaptive Dynamic Programming for Solving Unknown Nonlinear Zero-Sum Game Based on Online Data 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2017, 卷号: 28, 期号: 3, 页码: 714-725
作者:  Zhu, Yuanheng;  Zhao, Dongbin;  Li, Xiangjun
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Adaptive Dynamic Programming (Adp)  H-infinity Control  Policy Iteration (Pi)  Zero-sum Game (Zsg)  
Model-free reinforcement learning for nonlinear zero-sum games with simultaneous explorations 会议论文
, Vancouver, Canada, 2016-7
作者:  Zhang, Qichao;  Zhao, Dongbin;  Zhu, Yuanheng;  Chen, Xi
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Data-driven H∞ control for nonlinear distributed parameter systems 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2015, 卷号: 26, 期号: 11, 页码: 2949-2961
作者:  Luo, Biao;  Huang, Tingwen;  Wu, Huai-Ning;  Yang, Xiong
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Data Driven  
Efficient MOEAs with an adaptive sampling technique in searching robust optimal solutions 会议论文
Proceedings of the 7th World Congress on Intelligent Control and Automation, Chongqing, China, 2008-06-25~27
作者:  Luo, Biao;  Zheng, Jinhua;  Wu, Huai-Ning
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Simultaneous Policy Update Algorithm  
Neural network based online simultaneous policy update algorithm for solving the HJI equation in nonlinear H∞ control 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2012, 卷号: 23, 期号: 12, 页码: 1884-1895
作者:  Wu, Huai-Ning;  Luo, Biao
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Simultaneous Policy Update Algorithm  
Computationally efficient simultaneous policy update algorithm for nonlinear H∞ state feedback control with Galerkin’s method 期刊论文
International Journal of Robust and Nonlinear Control, 2013, 卷号: 23, 期号: 7, 页码: 991-1012
作者:  Luo, Biao;  Wu, Huai-Ning
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Simultaneous Policy Update Algorithm  
Simultaneous policy update algorithms for learning the solution of linear continuous-time H∞ state feedback control 期刊论文
Information Sciences, 2013, 卷号: 222, 期号: 0, 页码: 493-506
作者:  Wu, Huai-Ning;  Luo, Biao
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Spua  
L2 disturbance attenuation for highly dissipative nonlinear spatially distributed processes via HJI approach 期刊论文
Journal of Process Control, 2014, 卷号: 24, 期号: 5, 页码: 550-567
作者:  Wu, Huai-Ning;  Luo, Biao
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Highly Dissipative Partial Differential Equations (Pdes)  
Off-policy reinforcement learning for H∞ control design 期刊论文
IEEE Transactions on Cybernetics, 2015, 卷号: 45, 期号: 1, 页码: 65-76
作者:  Luo, Biao;  Wu, Huai-Ning;  Huang, Tingwen
浏览  |  Adobe PDF(680Kb)  |  收藏  |  浏览/下载:212/59  |  提交时间:2016/04/08
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