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Neuro-optimal control for discrete stochastic processes via a novel policy iteration algorithm 期刊论文
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020, 卷号: 50, 期号: 11, 页码: 3972-3985
作者:  Liang, Mingming;  Wang, Ding;  Liu, Derong
Adobe PDF(1604Kb)  |  收藏  |  浏览/下载：198/66  |  提交时间：2020/10/23
Adaptive critic designs  adaptive dynamic programming (ADP)  local policy iteration  neuro-dynamic programming  optimal control  stochastic processes  
Novel iterative neural dynamic programming for data-based approximate optimal control design 期刊论文
AUTOMATICA, 2017, 卷号: 81, 页码: 240-252
作者:  Mu, Chaoxu;  Wang, Ding;  He, Haibo
Adobe PDF(1611Kb)  |  收藏  |  浏览/下载：365/144  |  提交时间：2017/09/12
Iterative Neural Dynamic Programming (Indp)  Data-based Control  Approximate Optimal Control  Heuristic Dynamic Programming (Hdp)  Affine And non-Affine Nonlinear Systems  
Event-based input-constrained nonlinear H infinity state feedback with adaptive critic and neural implementation 期刊论文
NEUROCOMPUTING, 2016, 卷号: 214, 期号: *, 页码: 848-856
作者:  Wang, Ding;  Mu, Chaoxu;  Zhang, Qichao;  Liu, Derong
浏览  |  Adobe PDF(1090Kb)  |  收藏  |  浏览/下载：353/135  |  提交时间：2017/02/14
Adaptive Critic Learning (Acl)  Adaptive Dynamic Programming (Adp)  Event-based Control  Hamilton-jacobi-isaacs (Hji) Equation  Input Constraints  Neural Networks  Nonlinear H-infinity Control  State Feedback