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| A Novel Prescribed-Performance Path-Following Problem for Non-Holonomic Vehicle 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1476-1484 作者: Zirui Chen; Jingchuan Tang; Zongyu Zuo Adobe PDF(2243Kb)  |  收藏  |  浏览/下载:20/8  |  提交时间:2024/05/22 Guiding vector field non-holonomic vehicle path following prescribed performance sliding mode control |
| Asynchronous learning-based output feedback sliding mode control for semi-Markov jumpsystems: A descriptor approach 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1358-1369 作者: Zheng Wu; Yiyun Zhao; Fanbiao Li; Tao Yang; Yang Shi; Weihua Gui Adobe PDF(2638Kb)  |  收藏  |  浏览/下载:48/11  |  提交时间:2024/05/22 Asynchronous switching learning-based control output feedback semi-Markovian jump systems sliding mode control (SMC) |
| 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:62/25  |  提交时间:2024/05/22 Convolutional neural network deep learning recurrent neural network turbulence prediction wind load prediction |
| 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:60/8  |  提交时间:2024/04/10 Computer vision deep learning few-shot learning low-shot learning semantic segmentation zero-shot learning |
| Path-Following Control With Obstacle Avoidance of Autonomous Surface Vehicles Subject to Actuator Faults 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 956-964 作者: Li-Ying Hao; Gege Dong; Tieshan Li; Zhouhua Peng Adobe PDF(3761Kb)  |  收藏  |  浏览/下载:87/36  |  提交时间:2024/03/18 Actuator faults autonomous surface vehicle (ASVs) improved artificial potential function nonlinear state observer obstacle avoidance |
| More than Lightening: A Self-supervised Low-light Image Enhancement Method Capable for Multiple Degradations 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 622-637 作者: Han Xu; Jiayi Ma; Yixuan Yuan; Hao Zhang; Xin Tian; Xiaojie Guo Adobe PDF(25490Kb)  |  收藏  |  浏览/下载:75/11  |  提交时间:2024/02/19 Color correction low-light image enhancement self-supervised learning |
| Fixed-Time Sliding Mode Control With Varying Exponent Coefficient for Modular Reconfigurable Flight Arrays 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 514-528 作者: Jianquan Yang; Chunxi Yang; Xiufeng Zhang; Jing Na Adobe PDF(3700Kb)  |  收藏  |  浏览/下载:99/33  |  提交时间:2024/01/23 Control allocation dynamic model fixed-time stabilization modular reconfigurable flight array (MRFA) sliding mode |
| Analysis and Design of Time-Delay Impulsive Systems Subject to Actuator Saturation 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 196-204 作者: Chenhong Zhu; Xiuping Han; Xiaodi Li Adobe PDF(2059Kb)  |  收藏  |  浏览/下载:171/79  |  提交时间:2024/01/02 Delayed impulses impulsive control impulsive disturbance nonlinear systems saturation |
| 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:113/22  |  提交时间:2023/07/20 Deep learning hyperspectral image image fusion image super-resolution survey |
| Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1361-1387 作者: Sibo Cheng; César Quilodrán-Casas; Said Ouala; Alban Farchi; Che Liu; Pierre Tandeo; Ronan Fablet; Didier Lucor; Bertrand Iooss; Julien Brajard; Dunhui Xiao; Tijana Janjic; Weiping Ding; Yike Guo; Alberto Carrassi; Marc Bocquet; Rossella Arcucci Adobe PDF(17725Kb)  |  收藏  |  浏览/下载:127/33  |  提交时间:2023/05/29 Data assimilation (DA) deep learning machine learning (ML) reduced-order-modelling uncertainty quantification (UQ) |