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Fixed-Time Adaptive Fuzzy Control for Uncertain Nonstrict-Feedback Systems with Time-Varying Constraints and Input Saturations 期刊论文
IEEE Transactions on Fuzzy Systems, 2022, 卷号: 30, 期号: 4, 页码: 1114-1128
作者:  Jinlin Su;  Jianqiang Yi;  Zhiqiang Pu
Adobe PDF(1378Kb)  |  收藏  |  浏览/下载：268/56  |  提交时间：2022/04/02
Adaptive fuzzy control  fixed-time control  input saturation  nonstrict-feedback systems  time-varying constraints  
3-D Path Planning With Multiple Motions for a Gliding Robotic Dolphin 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 5, 页码: 2904-2915
作者:  Wang, Jian;  Wu, Zhengxing;  Tan, Min;  Yu, Junzhi
Adobe PDF(2493Kb)  |  收藏  |  浏览/下载：407/68  |  提交时间：2021/05/31
Dolphins  Path planning  Robot kinematics  Dynamics  Task analysis  Heuristic algorithms  Astar (A*) algorithm  dynamic modeling  gliding robotic dolphin  path planning  segmented Bezier curve  
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：254/0  |  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：201/0  |  提交时间：2021/01/07
Backstepping  Adaptive fuzzy control  Fuzzy logic  finite-time control  fixed-time state observer  
Controlling the depth of a gliding robotic dolphin using dual motion control modes 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2020, 卷号: 63, 期号: 9, 页码: 14
作者:  Wang, Jian;  Wu, Zhengxing;  Tan, Min;  Yu, Junzhi
Adobe PDF(847Kb)  |  收藏  |  浏览/下载：283/46  |  提交时间：2020/09/07
gliding robotic dolphin  depth control  dual motion  adaptive control approach  
A Compact Convolutional Neural Network for Surface Defect Inspection 期刊论文
SENSORS, 2020, 卷号: 20, 期号: 7, 页码: 19
作者:  Huang, Yibin;  Qiu, Congying;  Wang, Xiaonan;  Wang, Shijun;  Yuan, Kui
收藏  |  浏览/下载：235/0  |  提交时间：2020/07/06
surface defect inspection  convolutional neural network  machine vision  
Non-uniqueness Phenomenon of Object Representation in Modeling IT Cortex by Deep Convolutional Neural Network (DCNN) 期刊论文
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2020, 卷号: 14, 页码: 9
作者:  Dong, Qiulei;  Liu, Bo;  Hu, Zhanyi
Adobe PDF(748Kb)  |  收藏  |  浏览/下载：315/62  |  提交时间：2020/06/22
deep convolutional neural network  neural object representation  inferotemporal cortex  non-uniqueness  image object representation  
Inverse reinforcement learning-based time-dependent A* planner for human-aware robot navigation with local vision 期刊论文
ADVANCED ROBOTICS, 2020, 页码: 14
作者:  Sun Shiying;  Zhao Xiaoguang;  Li Qianzhong;  Tan Min
Adobe PDF(3726Kb)  |  收藏  |  浏览/下载：291/44  |  提交时间：2020/06/02
Human-aware navigation  inverse reinforcement learning  path planning  service robot  
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：213/0  |  提交时间：2020/06/02
Fixed-time control  nonsmooth backstepping  sliding mode observer (SMO)  uncertainty estimation  
Robust Visual Detection and Tracking Strategies for Autonomous Aerial Refueling of UAVs 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2019, 卷号: 68, 期号: 12, 页码: 4640-4652
作者:  Sun, Siyang;  Yin, Yingjie;  Wang, Xingang;  Xu, De
浏览  |  Adobe PDF(11285Kb)  |  收藏  |  浏览/下载：279/59  |  提交时间：2020/03/30
Target tracking  Feature extraction  Object detection  Search problems  Proposals  Visualization  Detectors  Autonomous aerial refueling (AAR)  deep learning  object detection  object tracking  reinforcement learning