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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
作者:  Mu, Chaoxu;  Wang, Ding;  He, Haibo
收藏  |  浏览/下载：226/0  |  提交时间：2019/12/16
Adaptive Dynamic Programming (Adp)  Data-driven Control  Finite-horizon Optimal Control  Heuristic Dynamic Programming (Hdp)  Learning Control  Neural Networks  
Adaptive Q-Learning for Data-Based Optimal Output Regulation With Experience Replay 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 48, 期号: 12, 页码: 3337-3348
作者:  Luo, Biao;  Yang, Yin;  Liu, Derong
收藏  |  浏览/下载：293/0  |  提交时间：2019/01/08
Data-based  experience replay  neural networks (NNs)  off-policy  optimal control  Q-learning (QL)  
Policy Iteration for H infinity Optimal Control of Polynomial Nonlinear Systems via Sum of Squares Programming 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 48, 期号: 2, 页码: 500-509
作者:  Zhu, Yuanheng;  Zhao, Dongbin;  Yang, Xiong;  Zhang, Qichao
Adobe PDF(892Kb)  |  收藏  |  浏览/下载：293/38  |  提交时间：2018/10/10
Adaptive Dynamic Programming (Adp)  h Infinity Optimal Control  Policy Iteration (Pi)  Polynomial Nonlinear Systems  Sum Of Squares (Sos)