中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共24条，第1-10条 帮助

限定条件        
已选(0)清除 条数/页：   排序方式：
A Multi-AGV Routing Planning Method Based on Deep Reinforcement Learning and Recurrent Neural Network 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 7, 页码: 1720-1722
作者:  Yishuai Lin;  Gang Hu;  Liang Wang;  Qingshan Li;  Jiawei Zhu
Adobe PDF(2948Kb)  |  收藏  |  浏览/下载：46/18  |  提交时间：2024/06/07
Nonlinear Filtering With Sample-Based Approximation Under Constrained Communication: Progress, Insights and Trends 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 7, 页码: 1539-1556
作者:  Weihao Song;  Zidong Wang;  Zhongkui Li;  Jianan Wang;  Qing-Long Han
Adobe PDF(1858Kb)  |  收藏  |  浏览/下载：32/10  |  提交时间：2024/06/07
Communication constraints  maximum correntropy filter  networked nonlinear filtering  particle filter  sample-based approximation  unscented Kalman filter  
Attention Markets of Blockchain-based Decentralized Autonomous Organizations 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1370-1380
作者:  Juanjuan Li;  Rui Qin;  Sangtian Guan;  Wenwen Ding;  Fei Lin;  Fei-Yue Wang
Adobe PDF(1878Kb)  |  收藏  |  浏览/下载：44/19  |  提交时间：2024/05/22
Attention  decentralized autonomous organizations  Harberger tax  Stackelberg game  
Mapping Network-coordinated Stacked Gated Recurrent Units for Turbulence Prediction 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1331-1341
作者:  Zhiming Zhang;  Shangce Gao;  MengChu Zhou;  Mengtao Yan;  Shuyang Cao
Adobe PDF(7172Kb)  |  收藏  |  浏览/下载：42/16  |  提交时间：2024/05/22
Convolutional neural network  deep learning  recurrent neural network  turbulence prediction  wind load prediction  
Bayesian Filtering for High-Dimensional State-Space Models With State Partition and Error Compensation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1239-1249
作者:  Ke Li;  Shunyi Zhao;  Biao Huang;  Fei Liu
Adobe PDF(1988Kb)  |  收藏  |  浏览/下载：60/17  |  提交时间：2024/04/10
Bayesian estimation  error compensation  high-dimensional systems  state estimation  state partition  
Computational Experiments for Complex Social Systems: Integrated Design of Experiment System 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1175-1189
作者:  Xiao Xue;  Xiangning Yu;  Deyu Zhou;  Xiao Wang;  Chongke Bi;  Shufang Wang;  Fei-Yue Wang
Adobe PDF(11890Kb)  |  收藏  |  浏览/下载：55/7  |  提交时间：2024/04/10
Artificial society  computational experiments  model integration  operation engine  technology integration  
Nested Saturated Control of Uncertain Complex Cascade Systems Using Mixed Saturation Levels 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1163-1174
作者:  Meng Li;  Zhigang Zeng
Adobe PDF(1184Kb)  |  收藏  |  浏览/下载：59/20  |  提交时间：2024/04/10
Differentiable saturation functions  global stabilization analysis  mixed saturation levels  nested saturated control  uncertain complex cascade systems  
MAUN: Memory-Augmented Deep Unfolding Network for Hyperspectral Image Reconstruction 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1139-1150
作者:  Qian Hu;  Jiayi Ma;  Yuan Gao;  Junjun Jiang;  Yixuan Yuan
Adobe PDF(10937Kb)  |  收藏  |  浏览/下载：46/11  |  提交时间：2024/04/10
Compressive imaging  deep unfolding network hyperspectral image  
Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An Overview 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1106-1126
作者:  Wenqi Ren;  Yang Tang;  Qiyu Sun;  Chaoqiang Zhao;  Qing-Long Han
Adobe PDF(12695Kb)  |  收藏  |  浏览/下载：50/5  |  提交时间：2024/04/10
Computer vision  deep learning  few-shot learning  low-shot learning  semantic segmentation  zero-shot learning  
Intuitive Human-Robot-Environment Interaction With EMG Signals: A Review 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1075-1091
作者:  Dezhen Xiong;  Daohui Zhang;  Yaqi Chu;  Yiwen Zhao;  Xingang Zhao
Adobe PDF(5061Kb)  |  收藏  |  浏览/下载：54/12  |  提交时间：2024/04/10
Electromyography  human-robot-environment interaction (HREI)  human-robot interaction (HRI)  semiautonomous  sensory feedback