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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  
Adaptive Optimal Control of Highly Dissipative Nonlinear Spatially Distributed Processes With Neuro-Dynamic Programming 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 4, 页码: 684-696
作者:  Luo, Biao;  Wu, Huai-Ning;  Li, Han-Xiong
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Adaptive Optimal Control  Empirical Eigenfunction (Eef)  Highly Dissipative Partial Differential Equations (Pdes)  Neuro-dynamic Programming (Ndp)  Spatially Distributed Processes (Sdps)  
Data-based approximate policy iteration for affine nonlinear continuous-time optimal control design 期刊论文
AUTOMATICA, 2014, 卷号: 50, 期号: 12, 页码: 3281-3290
作者:  Luo, Biao;  Wu, Huai-Ning;  Huang, Tingwen;  Liu, Derong
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Nonlinear Optimal Control  Reinforcement Learning  Off-policy  Data-based Approximate Policy Iteration  Neural Network  Hamilton-jacobi-bellman Equation  
Data-based Suboptimal Neuro-control Design with Reinforcement Learning for Dissipative Spatially Distributed Processes 期刊论文
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2014, 卷号: 53, 期号: 19, 页码: 8106-8119
作者:  Luo, Biao;  Wu, Huai-Ning;  Li, Han-Xiong
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Data-based  
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)  
Approximate optimal control design for nonlinear one-dimensional parabolic PDE systems using empirical eigenfunctions and neural network 期刊论文
IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics, 2012, 卷号: 42, 期号: 6, 页码: 1538-1549
作者:  Luo, Biao;  Wu, Huai-Ning
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Approximate Optimal Control Design