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Energy consumption prediction of office buildings based on echo state networks 期刊论文
NEUROCOMPUTING, 2016, 卷号: 216, 期号: n/a, 页码: 478-488
作者:  Shi, Guang;  Liu, Derong;  Wei, Qinglai
浏览  |  Adobe PDF(1405Kb)  |  收藏  |  浏览/下载：430/182  |  提交时间：2017/02/14
Energy Consumption  Time-series Prediction  Office Buildings  Echo State Networks  Reservoir Topologies  
Information Theoretic Subspace Clustering 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2016, 卷号: 27, 期号: 12, 页码: 2643-2655
作者:  He, Ran;  Wang, Liang;  Sun, Zhenan;  Zhang, Yingya;  Li, Bo;  Bo LI
浏览  |  Adobe PDF(2269Kb)  |  收藏  |  浏览/下载：445/185  |  提交时间：2016/08/11
Correntropy  Group Sparsity  Low-rank Representation (Lrr)  Subspace Clustering  
A Coupled Hidden Conditional Random Field Model for Simultaneous Face Clustering and Naming in Videos 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2016, 卷号: 25, 期号: 12, 页码: 5780-5792
作者:  Zhang, Yifan;  Tang, Zhiqiang;  Wu, Baoyuan;  Ji, Qiang;  Lu, Hanqing
Adobe PDF(3012Kb)  |  收藏  |  浏览/下载：401/123  |  提交时间：2017/02/14
Face Clustering  Face Naming  Conditional Random Field  
Large-Scale Online Multitask Learning and Decision Making for Flexible Manufacturing 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2016, 卷号: 12, 期号: 6, 页码: 2139-2147
作者:  Wang, JunPing;  Sun, YunChuan;  Zhang, WenSheng;  Thomas, Ian;  Duan, ShiHui;  Shi, YouKang;  JUNPING WANG
Adobe PDF(2070Kb)  |  收藏  |  浏览/下载：619/179  |  提交时间：2016/10/20
Decision Making  Flexible Manufacturing  Industry 4.0  Online Multitask Coordination Learning  
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：346/135  |  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  
Decentralized guaranteed cost control of interconnected systems with uncertainties: A learning-based optimal control strategy 期刊论文
NEUROCOMPUTING, 2016, 卷号: 214, 页码: 297-306
作者:  Wang, Ding;  Liu, Derong;  Mu, Chaoxu;  Ma, Hongwen
Adobe PDF(1113Kb)  |  收藏  |  浏览/下载：377/119  |  提交时间：2017/02/14
Adaptive Dynamic Programming  Decentralized Control  Guaranteed Cost Control  Interconnected Systems  Learning Control  Neural Networks  Optimal Control  Uncertain Plant  
Data-based robust adaptive control for a class of unknown nonlinear constrained-input systems via integral reinforcement learning 期刊论文
INFORMATION SCIENCES, 2016, 卷号: 369, 页码: 731-747
作者:  Yang, Xiong;  Liu, Derong;  Luo, Biao;  Li, Chao
收藏  |  浏览/下载：214/0  |  提交时间：2016/12/26
Adaptive Dynamic Programming  Input Constraint  Neural Networks  Optimal Control  Reinforcement Learning  Robust Control  
Enhanced Local Gradient Order Features and Discriminant Analysis for Face Recognition 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2016, 卷号: 46, 期号: 11, 页码: 2656-2669
作者:  Ren, Chuan-Xian;  Lei, Zhen;  Dai, Dao-Qing;  Li, Stan Z.
Adobe PDF(1998Kb)  |  收藏  |  浏览/下载：378/122  |  提交时间：2017/02/14
Discontinuity  Image Gradient  Order Features  Sparse Representation  Subspace Learning  
Data-Based Adaptive Critic Designs for Nonlinear Robust Optimal Control With Uncertain Dynamics 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2016, 卷号: 46, 期号: 11, 页码: 1544-1555
作者:  Wang, Ding;  Liu, Derong;  Zhang, Qichao;  Zhao, Dongbin
浏览  |  Adobe PDF(1082Kb)  |  收藏  |  浏览/下载：438/196  |  提交时间：2017/02/14
Adaptive Critic Designs  Adaptive Dynamic Programming  Intelligent Control  Neural Networks  Policy Iteration  Robust Optimal Control  System Identification  Uncertain Nonlinear Systems  
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：472/188  |  提交时间：2016/10/20
Adaptive Dynamic Programming  Data-based Control  Integral Policy Iteration  Matched Uncertainties  Neural Networks  Robust Optimal Control