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Fixed-Time Sliding Mode Disturbance Observer-Based Nonsmooth Backstepping Control for Hypersonic Vehicles 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2020, 卷号: 50, 期号: 11, 页码: 4377-4386
作者:  Sun, Jinlin;  Yi, Jianqiang;  Pu, Zhiqiang;  Tan, Xiangmin
Adobe PDF(3197Kb)  |  收藏  |  浏览/下载：297/0  |  提交时间：2021/01/07
Backstepping  Disturbance observers  Backstepping  finite-time control  fixed-time observer  
Adaptive Fuzzy Nonsmooth Backstepping Output-Feedback Control for Hypersonic Vehicles With Finite-Time Convergence 期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2020, 卷号: 28, 期号: 10, 页码: 2320-2334
作者:  Sun, Jinlin;  Yi, Jianqiang;  Pu, Zhiqiang;  Liu, Zhen
Adobe PDF(3972Kb)  |  收藏  |  浏览/下载：244/0  |  提交时间：2021/01/07
Backstepping  Adaptive fuzzy control  Fuzzy logic  finite-time control  fixed-time state observer  
Fixed-Time Control With Uncertainty and Measurement Noise Suppression for Hypersonic Vehicles via Augmented Sliding Mode Observers 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 卷号: 16, 期号: 2, 页码: 1192-1203
作者:  Sun, Jinlin;  Pu, Zhiqiang;  Yi, Jianqiang;  Liu, Zhen
Adobe PDF(3825Kb)  |  收藏  |  浏览/下载：249/0  |  提交时间：2020/06/02
Fixed-time control  nonsmooth backstepping  sliding mode observer (SMO)  uncertainty estimation  
Detection of Power Line Insulator Defects using Aerial Images Analyzed with Convolutional Neural Networks 期刊论文
IEEE Transactions on Systems Man Cybernetics-Systems, 2018, 卷号: 50, 期号: 0, 页码: 0
作者:  Tao Xian;  Zhang Dapeng;  Wang Zihao;  Liu Xilong;  Zhang Hongyan;  Xu De
Adobe PDF(2627Kb)  |  收藏  |  浏览/下载：954/356  |  提交时间：2018/10/08
Defect Detection  Insulators  Aerial Image  Convolutional Neural Network  
Robust Landmark Detection and Position Measurement Based on Monocular Vision for Autonomous Aerial Refueling of UAVs 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 卷号: 49, 期号: 12, 页码: 4167-4179
作者:  Sun, Siyang;  Yin, Yingjie;  Wang, Xingang;  Xu, De
Adobe PDF(2687Kb)  |  收藏  |  浏览/下载：614/205  |  提交时间：2018/10/02
Aerial refueling  landmark detection  monocular vision  multitask parallel deep convolution neural network (MPDCNN)  position measurement