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Supervised assisted deep reinforcement learning for emergency voltage control of power systems 期刊论文
NEUROCOMPUTING, 2022, 卷号: 475, 页码: 69-79
作者:  Li, Xiaoshuang;  Wang, Xiao;  Zheng, Xinhu;  Dai, Yuxin;  Yu, Zhihong;  Zhang, Jun Jason;  Bu, Guangquan;  Wang, Fei-Yue
Adobe PDF(2551Kb)  |  收藏  |  浏览/下载：319/64  |  提交时间：2022/06/06
Deep reinforcement learning  Behavioral cloning  Dynamic demonstration  Emergency control  
Dynamic camera configuration learning for high-confidence active object detection 期刊论文
NEUROCOMPUTING, 2021, 卷号: 466, 页码: 113-127
作者:  Xu, Nuo;  Huo, Chunlei;  Zhang, Xin;  Cao, Yong;  Meng, Gaofeng;  Pan, Chunhong
Adobe PDF(4412Kb)  |  收藏  |  浏览/下载：289/55  |  提交时间：2021/12/28
Object detection  Active object detection  Deep reinforcement learning  Camera control  
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：427/163  |  提交时间：2017/09/12
Adaptive Tracking Control  Hamilton-jacobi-bellman (Hjb) Equation  Adaptive Dynamic Programming (Adp)  Neural Networks  Uncertainties  
Evolved neural network ensemble by multiple heterogeneous swarm intelligence 期刊论文
NEUROCOMPUTING, 2015, 卷号: 149, 期号: A, 页码: 29-38
作者:  Zhao, Zeng-Shun;  Feng, Xiang;  Lin, Yan-yan;  Wei, Fang;  Wang, Shi-Ku;  Xiao, Tong-Lu;  Cao, Mao-Yong;  Hou, Zeng-Guang
浏览  |  Adobe PDF(1108Kb)  |  收藏  |  浏览/下载：280/85  |  提交时间：2015/10/13
Neural Network Ensemble  Particle Swarm Optimization  Differential Evolution  Artificial Bee Colony  Chaotic Search  
Neural-network-based adaptive optimal tracking control scheme for discrete-time nonlinear systems with approximation errors 期刊论文
NEUROCOMPUTING, 2015, 卷号: 149, 期号: x, 页码: 106-115
作者:  Wei, Qinglai;  Liu, Derong;  Qinglai Wei
浏览  |  Adobe PDF(836Kb)  |  收藏  |  浏览/下载：286/114  |  提交时间：2015/10/13
Adaptive Dynamic Programming  Adaptive Critic Designs  Approximate Dynamic Programming  Value Iteration  Approximation Errors  Optimal Tracking Control  
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：627/237  |  提交时间：2015/09/23
Adaptive Dynamic Programming  Approximate  Dynamic Programming  Q-learning  Optimal Tracking Control  Neural Networks  
Nearly finite-horizon optimal control for a class of nonaffine time-delay nonlinear systems based on adaptive dynamic programming 期刊论文
NEUROCOMPUTING, 2015, 卷号: 156, 期号: x, 页码: 166-175
作者:  Song, Ruizhuo;  Wei, Qinglai;  Sun, Qiuye;  Qinglai Wei
浏览  |  Adobe PDF(629Kb)  |  收藏  |  浏览/下载：361/98  |  提交时间：2015/09/21
Adaptive Dynamic Programming  Approximate Dynamic Programming  Adaptive Critic Designs  Nonlinear Systems  Optimal Control  Time-delay  
Single image super-resolution using combined total variation regularization by split Bregman Iteration 期刊论文
NEUROCOMPUTING, 2014, 卷号: 142, 页码: 551-560
作者:  Li, Lin;  Xie, Yuan;  Hu, Wenrui;  Zhang, Wensheng
浏览  |  Adobe PDF(12862Kb)  |  收藏  |  浏览/下载：294/82  |  提交时间：2015/09/18
Super-resolution  Total Variation  Steering Kernel Regression  Split Bregman Iteration  Local Structural Regularity  Non-local Self-similarity  
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
Adobe PDF(1120Kb)  |  收藏  |  浏览/下载：382/119  |  提交时间：2015/09/17
Adaptive Dynamic Programming  Decentralized Control  Optimal Control  Policy Iteration  Neural Networks  
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：253/96  |  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