中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共12条，第1-10条 帮助

限定条件        
已选(0)清除 条数/页：   排序方式：
Anomaly-Resistant Decentralized State Estimation Under Minimum Error Entropy With Fiducial Points for Wide-Area Power Systems 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 74-87
作者:  Bogang Qu;  Zidong Wang;  Bo Shen;  Hongli Dong;  Hongjian Liu
Adobe PDF(2856Kb)  |  收藏  |  浏览/下载：111/62  |  提交时间：2024/01/02
Decentralized state estimation (SE)  measurements with anomalies  minimum error entropy  unscented Kalman filter  wide-area power systems  
Kernel-Based State-Space Kriging for Predictive Control 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 5, 页码: 1263-1275
作者:  A. Daniel Carnerero;  Daniel R. Ramirez;  Daniel Limon;  Teodoro Alamo
Adobe PDF(3997Kb)  |  收藏  |  浏览/下载：109/30  |  提交时间：2023/04/26
Data-driven methods  model identification  Kernel methods  predictive control  
A Novel Adaptive Kalman Filter Based on Credibility Measure 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 103-120
作者:  Quanbo Ge;  Xiaoming Hu;  Yunyu Li;  Hongli He;  Zihao Song
Adobe PDF(2653Kb)  |  收藏  |  浏览/下载：136/37  |  提交时间：2023/01/03
Credibility  expectation maximization-particle swarm optimization method (EM-PSO)  filter calculated mean square errors (MSE)  inaccurate models  Kalman filter  Sage-Husa  true MSE (TMSE)  
Recursive Filtering for Nonlinear Systems With Self-Interferences Over Full-Duplex Relay Networks 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 11, 页码: 2037-2040
作者:  Hailong Tan;  Bo Shen;  Qi Li;  Wei Qian
Adobe PDF(643Kb)  |  收藏  |  浏览/下载：121/44  |  提交时间：2022/10/09
Complex-Valued Neural Networks: A Comprehensive Survey 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 8, 页码: 1406-1426
作者:  ChiYan Lee;  Hideyuki Hasegawa;  Shangce Gao
Adobe PDF(1612Kb)  |  收藏  |  浏览/下载：190/43  |  提交时间：2022/08/01
Complex activation function  complex backpropagation algorithm  complex-valued learning algorithm  complex-valued neural network  deep learning  
Loop Closure Detection With Reweighting NetVLAD and Local Motion and Structure Consensus 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 6, 页码: 1087-1090
作者:  Kaining Zhang;  Jiayi Ma;  Junjun Jiang
Adobe PDF(2300Kb)  |  收藏  |  浏览/下载：158/44  |  提交时间：2022/05/30
Continuous-Time Prediction of Industrial Paste Thickener System With Differential ODE-Net 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 4, 页码: 686-698
作者:  Zhaolin Yuan, Xiaorui Li, Di Wu, Xiaojuan Ban, Nai-Qi Wu, Hong-Ning Dai, Hao Wang
Adobe PDF(5424Kb)  |  收藏  |  浏览/下载：233/85  |  提交时间：2022/03/09
Industrial 24 paste thickener,ordinary differential equation (ODE)-net,recurrent neural network,time series prediction  
Cubature Kalman Filter Under Minimum Error Entropy With Fiducial Points for INS/GPS Integration 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 3, 页码: 450-465
作者:  Lujuan Dang;  Badong Chen;  Yulong Huang;  Yonggang Zhang;  Haiquan Zhao
Adobe PDF(11652Kb)  |  收藏  |  浏览/下载：146/31  |  提交时间：2022/03/09
Cubature Kalman filter (CKF)  inertial navigation system (INS)/global positioning system (GPS) integration  minimum error entropy with fiducial points (MEEF)  non-Gaussian noise  
A Survey and Tutorial of EEG-Based Brain Monitoring for Driver State Analysis 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 7, 页码: 1222-1242
作者:  Ce Zhang;  Azim Eskandarian
Adobe PDF(42044Kb)  |  收藏  |  浏览/下载：200/56  |  提交时间：2021/06/11
Advanced driver assistance systems (ADAS)  data analysis  electroencephalography (EEG)  intelligent vehicles  machine learning algorithms  neural network  
Deep Learning in Sheet Metal Bending With a Novel Theory-Guided Deep Neural Network 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 3, 页码: 565-581
作者:  Shiming Liu;  Yifan Xia;  Zhusheng Shi;  Hui Yu;  Zhiqiang Li;  Jianguo Lin
Adobe PDF(6784Kb)  |  收藏  |  浏览/下载：219/57  |  提交时间：2021/04/09
Data-driven deep learning  deep learning  deep neural network (DNN)  intelligent manufacturing  machine learning  sheet metal forming  springback  theory-guided deep learning  theory-guided regularization