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Improved value iteration for neural-network-based stochastic optimal control design 期刊论文
NEURAL NETWORKS, 2020, 卷号: 124, 页码: 280-295
作者:  Liang, Mingming;  Wang, Ding;  Liu, Derong
Adobe PDF(5875Kb)  |  收藏  |  浏览/下载：231/51  |  提交时间：2020/06/02
Adaptive critic designs  Adaptive dynamic programming  Neural networks  Optimal control  Stochastic processes  Value iteration  
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
浏览  |  Adobe PDF(1604Kb)  |  收藏  |  浏览/下载：184/63  |  提交时间：2020/10/23
Adaptive critic designs  adaptive dynamic programming (ADP)  local policy iteration  neuro-dynamic programming  optimal control  stochastic processes  
Data-Based Optimal Control for Weakly Coupled Nonlinear Systems Using Policy Iteration 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2018, 卷号: 48, 期号: 4, 页码: 511-521
作者:  Li, Chao;  Liu, Derong;  Wang, Ding
浏览  |  Adobe PDF(892Kb)  |  收藏  |  浏览/下载：875/574  |  提交时间：2017/05/03
Adaptive Dynamic Programming (Adp)  Neural Networks (Nns)  Optimal Control  Policy Iteration (Pi)  Unknown Dynamics  Weakly Coupled Systems  
Policy Gradient Adaptive Dynamic Programming for Data-Based Optimal Control 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2017, 卷号: 47, 期号: 10, 页码: 3341-3354
作者:  Luo, Biao;  Liu, Derong;  Wu, Huai-Ning;  Wang, Ding;  Lewis, Frank L.
浏览  |  Adobe PDF(3217Kb)  |  收藏  |  浏览/下载：575/205  |  提交时间：2016/11/09
Adaptive Control  Adaptive Dynamic Programming (Adp)  Data-based  Off-policy Learning  Optimal Control  Policy Gradient  
Data-based robust optimal control of continuous-time affine nonlinear systems with matched uncertainties 期刊论文
INFORMATION SCIENCES, 2016, 期号: 366, 页码: 121-133
作者:  Wang, Ding;  Li, Chao;  Liu, Derong;  Mu, Chaoxu
浏览  |  Adobe PDF(782Kb)  |  收藏  |  浏览/下载：474/188  |  提交时间：2016/10/20
Adaptive Dynamic Programming  Data-based Control  Integral Policy Iteration  Matched Uncertainties  Neural Networks  Robust Optimal Control  
Policy Iteration for Optimal Control of Weakly Coupled Nonlinear Systems with Completely Unknown Dynamics 会议论文
, Boston, MA, USA, July 6-8, 2016
作者:  Li, Chao;  Wang, Ding;  Liu, Derong;  He, Haibo
浏览  |  Adobe PDF(206Kb)  |  收藏  |  浏览/下载：191/73  |  提交时间：2017/05/03
Guaranteed cost neural tracking control for a class of uncertain nonlinear systems using adaptive dynamic programming 期刊论文
Neurocomputing, 2016, 卷号: 198, 期号: wu, 页码: 80
作者:  Yang, Xiong;  Liu, Derong;  Wei, Qinglai;  Wang, Ding
Adobe PDF(1487Kb)  |  收藏  |  浏览/下载：293/122  |  提交时间：2017/02/23
Adaptive Dynamic Programming  Guaranteed Cost Control  Hamilton-jacobi-bellman Equation  Neural Network  Nonlinear System  Reinforcement Learning  
Direct adaptive control for a class of discrete-time unknown nonaffine nonlinear systems using neural networks 期刊论文
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2015, 卷号: 25, 期号: 12, 页码: 1844-1861
作者:  Yang, Xiong;  Liu, Derong;  Wei, Qinglai;  Wang, Ding
浏览  |  Adobe PDF(1488Kb)  |  收藏  |  浏览/下载：246/80  |  提交时间：2015/09/23
Adaptive Control  Discrete-time  Nonaffine System  Nn  Feedback Control  Online Learning  Mimo  Lyapunov Method  
Reinforcement-Learning-Based Robust Controller Design for Continuous-Time Uncertain Nonlinear Systems Subject to Input Constraints 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2015, 卷号: 45, 期号: 7, 页码: 1372-1385
作者:  Liu, Derong;  Yang, Xiong;  Wang, Ding;  Wei, Qinglai
浏览  |  Adobe PDF(1179Kb)  |  收藏  |  浏览/下载：468/243  |  提交时间：2015/09/17
Approximate Dynamic Programming (Adp)  Neural Networks (Nns)  Neuro-dynamic Programming  Nonlinear Systems  Optimal Control  Reinforcement Learning (Rl)  Robust Control  
Discrete-time online learning control for a class of unknown nonaffine nonlinear systems using reinforcement learning 期刊论文
NEURAL NETWORKS, 2014, 卷号: 55, 页码: 30-41
作者:  Yang, Xiong;  Liu, Derong;  Wang, Ding;  Wei, Qinglai
浏览  |  Adobe PDF(684Kb)  |  收藏  |  浏览/下载：359/130  |  提交时间：2015/08/12
Adaptive Critic Design  Neural Network  Nonaffine Nonlinear System  Online Learning  Reinforcement Learning