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| Uncertainty-aware Deep Learning: A Promising Tool for Trustworthy Fault Diagnosis 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1317-1330 作者: Jiaxin Ren; Jingcheng Wen; Zhibin Zhao; Ruqiang Yan; Xuefeng Chen; Asoke K. Nandi
Adobe PDF(16165Kb)  |   收藏  |  浏览/下载:42/9  |  提交时间:2024/05/22 Out-of-distribution detection traceability analysis trustworthy fault diagnosis uncertainty quantification |
| 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:61/13  |  提交时间:2024/04/10 Electromyography human-robot-environment interaction (HREI) human-robot interaction (HRI) semiautonomous sensory feedback |
| Detection of Oscillations in Process Control Loops From Visual Image Space Using Deep Convolutional Networks 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 982-995 作者: Tao Wang ; Qiming Chen; Xun Lang; Lei Xie; Peng Li; Hongye Su
Adobe PDF(3095Kb)  |   收藏  |  浏览/下载:84/25  |  提交时间:2024/03/18 Convolutional neural networks (CNNs) deep learning image processing oscillation detection process industries |
| A Novel Disturbance Observer Based Fixed-Time Sliding Mode Control for Robotic Manipulators With Global Fast Convergence 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 661-672 作者: Dan Zhang ; Jiabin Hu; Jun Cheng; Zheng-Guang Wu; Huaicheng Yan
Adobe PDF(5044Kb)  |   收藏  |  浏览/下载:105/41  |  提交时间:2024/02/19 Disturbance observer (DO) fixed-time non-singular sliding mode control robotic manipulator trajectory tracking |
| Control Strategies for Digital Twin Systems 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 170-180 作者: Guo-Ping Liu
Adobe PDF(1689Kb)  |   收藏  |  浏览/下载:219/126  |  提交时间:2024/01/02 Digital twin control systems fault tolerant control model tracking performance prediction performance retention |
| Diverse Deep Matrix Factorization With Hypergraph Regularization for Multi-View Data Representation 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2154-2167 作者: Haonan Huang; Guoxu Zhou; Naiyao Liang; Qibin Zhao; Shengli Xie
Adobe PDF(3206Kb)  |   收藏  |  浏览/下载:164/47  |  提交时间:2023/09/22 Deep matrix factorization (DMF) diversity hypergraph regularization multi-view data representation (MDR) |
| Regularization by Multiple Dual Frames for Compressed Sensing Magnetic Resonance Imaging With Convergence Analysis 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2136-2153 作者: Baoshun Shi; Kexun Liu
Adobe PDF(16304Kb)  |   收藏  |  浏览/下载:108/47  |  提交时间:2023/09/22 Bounded denoiser compressed sensing magnetic resonance imaging (CSMRI) dual frames plug-and-play priors regularization |
| A Data-Driven Rutting Depth Short-Time Prediction Model With Metaheuristic Optimization for Asphalt Pavements Based on RIOHTrack 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 10, 页码: 1918-1932 作者: Zhuoxuan Li; Iakov Korovin; Xinli Shi; Sergey Gorbachev; Nadezhda Gorbacheva; Wei Huang; Jinde Cao
Adobe PDF(3879Kb)  |   收藏  |  浏览/下载:132/46  |  提交时间:2023/09/07 Extreme learning machine algorithm with residual correction (RELM), metaheuristic optimization oil-gas transportation RIOHTrack rutting depth |
| Hyperspectral Image Super-Resolution Meets Deep Learning: A Survey and Perspective 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 8, 页码: 1668-1691 作者: Xinya Wang; Qian Hu; Yingsong Cheng; Jiayi Ma
Adobe PDF(22541Kb)  |   收藏  |  浏览/下载:112/22  |  提交时间:2023/07/20 Deep learning hyperspectral image image fusion image super-resolution survey |
| Pavement Cracks Coupled With Shadows: A New Shadow-Crack Dataset and A Shadow-Removal-Oriented Crack Detection Approach 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 7, 页码: 1593-1607 作者: Lili Fan; Shen Li; Ying Li ; Bai Li; Dongpu Cao; Fei-Yue Wang![](/image/person.jpg)
Adobe PDF(23502Kb)  |   收藏  |  浏览/下载:123/16  |  提交时间:2023/06/14 Automatic pavement crack detection data augmentation compensation deep learning residual feature augmentation shadow removal shadow-crack dataset |