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CASIA OpenIR
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Adaptive tracking control for a class of continuous-time uncertain nonlinear systems using the approximate solution of HJB equation 期刊论文
NEUROCOMPUTING, 2017, 卷号: 260, 页码: 432-442
作者:  Mu, Chaoxu;  Sun, Changyin;  Wang, Ding;  Song, Aiguo
Adobe PDF(1555Kb)  |  收藏  |  浏览/下载：415/158  |  提交时间：2017/09/12
Adaptive Tracking Control  Hamilton-jacobi-bellman (Hjb) Equation  Adaptive Dynamic Programming (Adp)  Neural Networks  Uncertainties  
Distributed control algorithm for bipartite consensus of the nonlinear time-delayed multi-agent systems with neural networks 期刊论文
NEUROCOMPUTING, 2016, 卷号: 174, 页码: 928-936
作者:  Wang, Ding;  Ma, Hongwen;  Liu, Derong
Adobe PDF(1037Kb)  |  收藏  |  浏览/下载：372/155  |  提交时间：2016/03/19
Bipartite Consensus  Distributed Control Algorithm  Multi-agent Systems  Neural Networks  Time Delays  
Neural-network-based decentralized control of continuous-time nonlinear interconnected systems with unknown dynamics 期刊论文
NEUROCOMPUTING, 2015, 期号: 165, 页码: 90-98
作者:  Liu, Derong;  Li, Chao;  Li, Hongliang;  Wang, Ding;  Ma, Hongwen
浏览  |  Adobe PDF(1120Kb)  |  收藏  |  浏览/下载：369/116  |  提交时间：2015/09/17
Adaptive Dynamic Programming  Decentralized Control  Optimal Control  Policy Iteration  Neural Networks  
Full-range adaptive cruise control based on supervised adaptive dynamic programming 期刊论文
NEUROCOMPUTING, 2014, 卷号: 125, 页码: 57-67
作者:  Zhao, Dongbin;  Hu, Zhaohui;  Xia, Zhongpu;  Alippi, Cesare;  Zhu, Yuanheng;  Wang, Ding
浏览  |  Adobe PDF(2228Kb)  |  收藏  |  浏览/下载：391/114  |  提交时间：2015/08/12
Adaptive Dynamic Programming  Supervised Reinforcement Learning  Neural Networks  Adaptive Cruise Control  Stop And Go  
Finite-horizon neuro-optimal tracking control for a class of discrete-time nonlinear systems using adaptive dynamic programming approach 期刊论文
NEUROCOMPUTING, 2012, 卷号: 78, 期号: 1, 页码: 14-22
作者:  Wang, Ding;  Liu, Derong;  Wei, Qinglai
Adobe PDF(465Kb)  |  收藏  |  浏览/下载：242/92  |  提交时间：2015/08/12
Adaptive Critic Designs  Adaptive Dynamic Programming  Approximate Dynamic Programming  Finite-horizon Optimal Tracking Control  Learning Control  Neural Networks  Reinforcement Learning