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Guaranteed Cost Attitude Tracking Control for Uncertain Quadrotor Unmanned Aerial Vehicle Under Safety Constraints 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1447-1457
作者:  Qian Ma;  Peng Jin;  Frank L. Lewis
Adobe PDF(3186Kb)  |  收藏  |  浏览/下载：3/1  |  提交时间：2024/05/22
Attitude tracking control  quadrotor unmanned aerial vehicle (QUAV)  reinforcement learning  safety constraints  uncertain disturbances  
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：3/1  |  提交时间：2024/05/22
Attention  decentralized autonomous organizations  Harberger tax  Stackelberg game  
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：2/1  |  提交时间：2024/05/22
Asynchronous switching  learning-based control  output feedback  semi-Markovian jump systems  sliding mode control (SMC)  
Adaptive Trajectory Tracking Control for Nonholonomic Wheeled Mobile Robots: A Barrier Function Sliding Mode Approach 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 1007-1021
作者:  Yunjun Zheng;  Jinchuan Zheng;  Ke Shao;  Han Zhao;  Hao Xie;  Hai Wang
Adobe PDF(32944Kb)  |  收藏  |  浏览/下载：27/3  |  提交时间：2024/03/18
Adaptive sliding mode  barrier function  nonholonomic wheeled mobile robot (NWMR)  trajectory tracking control  
Unsupervised Multi-Expert Learning Model for Underwater Image Enhancement 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 708-722
作者:  Hongmin Liu;  Qi Zhang;  Yufan Hu;  Hui Zeng;  Bin Fan
Adobe PDF(59664Kb)  |  收藏  |  浏览/下载：53/16  |  提交时间：2024/02/19
Multi-expert learning  underwater image enhancement  unsupervised learning  
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：43/9  |  提交时间：2024/02/19
Color correction  low-light image enhancement  self-supervised learning  
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：57/18  |  提交时间：2024/01/23
Ambisonic  attention  binaural rendering  neural network  
Communication Resource-Efficient Vehicle Platooning Control With Various Spacing Policies 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 362-376
作者:  Xiaohua Ge;  Qing-Long Han;  Xian-Ming Zhang;  Derui Ding
Adobe PDF(3378Kb)  |  收藏  |  浏览/下载：76/30  |  提交时间：2024/01/23
Automated vehicles  constant time headway spacing  constant spacing  cooperative adaptive cruise control  event-triggered communication  vehicle platooning  
Protocol-Based Non-Fragile State Estimation for Delayed Recurrent Neural Networks Subject to Replay Attacks 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 249-251
作者:  Fan Yang;  Hongli Dong;  Yuxuan Shen;  Xuerong Li;  Dongyan Dai
Adobe PDF(482Kb)  |  收藏  |  浏览/下载：156/73  |  提交时间：2024/01/02
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：260/184  |  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)