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| 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:19/4  |  提交时间:2024/02/19 Color correction low-light image enhancement self-supervised learning |
| A Dual Closed-Loop Digital Twin Construction Method for Optimizing the Copper Disc Casting Process 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 581-594 作者: Zhaohui Jiang; Chuan Xu; Jinshi Liu; Weichao Luo; Zhiwen Chen; Weihua Gui Adobe PDF(16387Kb)  |  收藏  |  浏览/下载:19/2  |  提交时间:2024/02/19 Copper disc casting machine digital twin (DT) mechanism modeling self-optimization |
| Multi-UAVs Collaborative Path Planning in the Cramped Environment 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 529-538 作者: Siyuan Feng; Linzhi Zeng; Jining Liu; Yi Yang; Wenjie Song Adobe PDF(37781Kb)  |  收藏  |  浏览/下载:43/16  |  提交时间:2024/01/23 Collision avoidance conflict resolution multi-unmanned aerial vehicles (UAVs) system path planning |
| UAV-Assisted Dynamic Avatar Task Migration for Vehicular Metaverse Services: A Multi-Agent Deep Reinforcement Learning Approach 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 430-445 作者: Jiawen Kang; Junlong Chen; Minrui Xu; Zehui Xiong; Yutao Jiao; Luchao Han; Dusit Niyato; Yongju Tong; Shengli Xie Adobe PDF(6097Kb)  |  收藏  |  浏览/下载:33/5  |  提交时间:2024/01/23 Avatar blockchain metaverses multi-agent deep reinforcement learning transformer UAVs |
| A Novel Tensor Decomposition-Based Efficient Detector for Low-Altitude Aerial Objects With Knowledge Distillation Scheme 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 487-501 作者: Nianyin Zeng; Xinyu Li; Peishu Wu; Han Li; Xin Luo Adobe PDF(12478Kb)  |  收藏  |  浏览/下载:24/8  |  提交时间:2024/01/23 Attention mechanism knowledge distillation (KD) object detection tensor decomposition (TD) unmanned aerial vehicles (UAVs) |
| Sparse Reconstructive Evidential Clustering for Multi-View Data 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 459-473 作者: Chaoyu Gong; Yang You Adobe PDF(1769Kb)  |  收藏  |  浏览/下载:34/17  |  提交时间:2024/01/23 Evidence theory multi-view clustering (MVC) optimization sparse reconstruction |
| End-to-End Paired Ambisonic-Binaural Audio Rendering 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 502-513 作者: Yin Zhu; Qiuqiang Kong; Junjie Shi; Shilei Liu; Xuzhou Ye; Ju-Chiang Wang; Hongming Shan; Junping Zhang Adobe PDF(9612Kb)  |  收藏  |  浏览/下载:28/8  |  提交时间:2024/01/23 Ambisonic attention binaural rendering neural network |
| Advancements in Humanoid Robots: A Comprehensive Review and Future Prospects 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 301-328 作者: Yuchuang Tong; Haotian Liu; Zhengtao Zhang Adobe PDF(7587Kb)  |  收藏  |  浏览/下载:37/6  |  提交时间:2024/01/23 Future trends and challenges humanoid robots human-robot interaction key technologies potential applications |
| Autonomous Vehicle Platoons In Urban Road Networks: A Joint Distributed Reinforcement Learning and Model Predictive Control Approach 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 141-156 作者: Luigi D’Alfonso; Francesco Giannini; Giuseppe Franzè; Giuseppe Fedele; Francesco Pupo; Giancarlo Fortino Adobe PDF(7491Kb)  |  收藏  |  浏览/下载:152/114  |  提交时间:2024/01/02 Distributed model predictive control distributed reinforcement learning routing decisions urban road networks |
| Recent Progress in Reinforcement Learning and Adaptive Dynamic Programming for Advanced Control Applications 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 18-36 作者: Ding Wang; Ning Gao; Derong Liu; Jinna Li; Frank L. Lewis Adobe PDF(1945Kb)  |  收藏  |  浏览/下载:198/163  |  提交时间:2024/01/02 Adaptive dynamic programming (ADP) advanced control complex environment data-driven control event-triggered design intelligent control neural networks nonlinear systems optimal control reinforcement learning (RL) |