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A New Neuro-Optimal Nonlinear Tracking Control Method via Integral Reinforcement Learning with Applications to Nuclear Systems 期刊论文
NEUROCOMPUTING, 2022, 卷号: 483, 页码: 361-369
作者:  Zhong, Weifeng;  Wang, Mengxuan;  Wei, Qinglai;  Lu, Jingwei
收藏  |  浏览/下载：203/0  |  提交时间：2022/06/10
Integral reinforcement learning  Nuclear power reactor  Nonlinear system  Optimal tracking control  Neural networks  
Multi-modal multi-view Bayesian semantic embedding for community question answering 期刊论文
NEUROCOMPUTING, 2019, 卷号: 334, 期号: 1, 页码: 44-58
作者:  Lei Sang;  Min Xu;  Shengsheng Qian;  Xindong Wu
浏览  |  Adobe PDF(1780Kb)  |  收藏  |  浏览/下载：383/112  |  提交时间：2019/07/12
Community question answering  Semantic embedding  Multi-modal  Multi-view  Topic model  Word embedding  
Bounded robust control design for uncertain nonlinear systems using single-network adaptive dynamic programming 期刊论文
NEUROCOMPUTING, 2017, 卷号: 266, 页码: 128-140
作者:  Huang, Yuzhu;  Wang, Ding;  Liu, Derong
Adobe PDF(1876Kb)  |  收藏  |  浏览/下载：334/87  |  提交时间：2018/03/03
Neural Networks  Optimal Control  Adaptive Dynamic Programming  Bounded Robust Control  Uncertain Nonlinear Systems  
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：416/159  |  提交时间：2017/09/12
Adaptive Tracking Control  Hamilton-jacobi-bellman (Hjb) Equation  Adaptive Dynamic Programming (Adp)  Neural Networks  Uncertainties  
Data-driven adaptive dynamic programming for continuous-time fully cooperative games with partially constrained inputs 期刊论文
NEUROCOMPUTING, 2017, 卷号: 238, 期号: *, 页码: 377-386
作者:  Zhang, Qichao;  Zhao, Dongbin;  Zhu, Yuanheng
浏览  |  Adobe PDF(1508Kb)  |  收藏  |  浏览/下载：624/268  |  提交时间：2017/05/04
Adaptive Dynamic Programming  Optimal Control  Neural Network  Fully Cooperative Games  Data-driven  Constrained Input  
Nonlinear neuro-optimal tracking control via stable iterative Q-learning algorithm 期刊论文
NEUROCOMPUTING, 2015, 卷号: 168, 期号: x, 页码: 520-528
作者:  Wei, Qinglai;  Song, Ruizhuo;  Sun, Qiuye;  Qinglai Wei
浏览  |  Adobe PDF(2222Kb)  |  收藏  |  浏览/下载：619/237  |  提交时间：2015/09/23
Adaptive Dynamic Programming  Approximate  Dynamic Programming  Q-learning  Optimal Tracking Control  Neural Networks  
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：374/117  |  提交时间：2015/09/17
Adaptive Dynamic Programming  Decentralized Control  Optimal Control  Policy Iteration  Neural Networks  
Global Coupled Learning and Local Consistencies Ensuring for sparse-based tracking 期刊论文
NEUROCOMPUTING, 2015, 卷号: 2015, 期号: 160, 页码: 191-205
作者:  Yang, Yehui;  Xie, Yuan;  Zhang, Wensheng;  Hu, Wenrui;  Tan, Yuanhua
浏览  |  Adobe PDF(16651Kb)  |  收藏  |  浏览/下载：389/55  |  提交时间：2015/09/21
Visual Tracking  Sparse Representation  Dictionary Learning  Coupled Learning  Consistency Ensuring  
Global stability analysis of fractional-order Hopfield neural networks with time delay 期刊论文
NEUROCOMPUTING, 2015, 卷号: 2015, 期号: 154, 页码: 15-23
作者:  Wang, Hu;  Yu, Yongguang;  Wen, Guoguang;  Zhang, Shuo;  Yu, Junzhi
Adobe PDF(599Kb)  |  收藏  |  浏览/下载：749/252  |  提交时间：2015/09/21
Hopfield Neural Networks  Global Stability  Fractional-order  Time Delay  
Determining parameter identifiability from the optimization theory framework: A Kullback-Leibler divergence approach 期刊论文
NEUROCOMPUTING, 2014, 卷号: 142, 期号: 2, 页码: 307-317
作者:  Ran, Zhi-Yong;  Hu, Bao-Gang
浏览  |  Adobe PDF(563Kb)  |  收藏  |  浏览/下载：264/64  |  提交时间：2015/08/12
Identifiability  Optimization Theory  Kullback-leibler Divergence  Hessian Matrix  Jacobian Matrix