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Neural event-triggered optimal filtering co-design of Markovian jump systems with hidden mode detections 期刊论文
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2023, 页码: 11
作者:  Ma, Chao;  Lu, Yanfeng;  Wu, Wei
Adobe PDF(1257Kb)  |  收藏  |  浏览/下载：123/6  |  提交时间：2023/03/20
Markovian jump system  neural event-triggered scheme  optimal filtering  unknown nonlinearity  hidden mode detections  
Adaptive Fault-tolerant Control for Trajectory Tracking and Rectification of Directional Drilling 期刊论文
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2022, 卷号: 20, 期号: 1, 页码: 334-348
作者:  Zhang, Chi;  Zou, Wei;  Cheng, Ningbo;  Gao, Junshan
Adobe PDF(3031Kb)  |  收藏  |  浏览/下载：240/31  |  提交时间：2022/03/17
Fault-tolerant control (FTC)  integral sliding mode control (ISMC)  neural network (NN)  nonlinear control system  reinforcement learning (RL)  
Environment Perception Technologies for Power Transmission Line Inspection Robots 期刊论文
JOURNAL OF SENSORS, 2021, 卷号: 2021, 页码: 16
作者:  Chen, Minghao;  Tian, Yunong;  Xing, Shiyu;  Li, Zhishuo;  Li, En;  Liang, Zize;  Guo, Rui
Adobe PDF(2248Kb)  |  收藏  |  浏览/下载：131/2  |  提交时间：2021/06/07
Active Disturbance Rejection Control for a Fluid-Driven Hand Rehabilitation Device 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2021, 卷号: 26, 期号: 2, 页码: 841-853
作者:  Li, Houcheng;  Cheng, Long;  Li, Zhengwei;  Xue, Wenchao
Adobe PDF(3069Kb)  |  收藏  |  浏览/下载：286/46  |  提交时间：2021/06/07
Actuators  Exoskeletons  Performance evaluation  Training  IEEE transactions  Mechatronics  Active disturbance rejection control  extended state observer  extension motion  hand rehabilitation  parameter selection  transient  steady-state performance  
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：272/0  |  提交时间：2021/01/07
Backstepping  Disturbance observers  Backstepping  finite-time control  fixed-time observer  
Parallel Control for Optimal Tracking via Adaptive Dynamic Programming 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2020, 卷号: 7, 期号: 6, 页码: 1662-1674
作者:  Lu, Jingwei;  Wei, Qinglai;  Wang, Fei-Yue
浏览  |  Adobe PDF(7214Kb)  |  收藏  |  浏览/下载：344/60  |  提交时间：2021/01/06
Adaptive dynamic programming (ADP)  nonlinear optimal control  parallel controller  parallel control theory  parallel system  tracking control  neural network (NN)  
Mode-dependent event-triggered tracking control for uncertain semi-Markov systems with application to vertical take-off and landing helicopter 期刊论文
MEASUREMENT & CONTROL, 2020, 卷号: 53, 期号: 5-6, 页码: 954-961
作者:  Ji, Yidao;  Li, Yinlin;  Wu, Wei;  Fu, Hang;  Qiao, Hong
收藏  |  浏览/下载：187/0  |  提交时间：2020/07/20
Semi-Markov system  mode-dependent event-triggered control  mode-dependent uncertainties  
Mode-dependent event-triggered tracking control for uncertain semi-Markov systems with application to vertical take-off and landing helicopter 期刊论文
MEASUREMENT & CONTROL, 2020, 卷号: 53, 期号: 5-6, 页码: 954-961
作者:  Ji, Yidao;  Li, Yinlin;  Wu, Wei;  Fu, Hang;  Qiao, Hong
收藏  |  浏览/下载：207/0  |  提交时间：2020/07/20
Semi-Markov system  mode-dependent event-triggered control  mode-dependent uncertainties  
Real-Sim-Real Transfer for Real-World Robot Control Policy Learning with Deep Reinforcement Learning 期刊论文
APPLIED SCIENCES-BASEL, 2020, 卷号: 10, 期号: 5, 页码: 16
作者:  Liu, Naijun;  Cai, Yinghao;  Lu, Tao;  Wang, Rui;  Wang, Shuo
浏览  |  Adobe PDF(6287Kb)  |  收藏  |  浏览/下载：264/64  |  提交时间：2020/06/02
robot  policy learning  reality gap  simulated environment  deep reinforcement learning  
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：230/0  |  提交时间：2020/06/02
Fixed-time control  nonsmooth backstepping  sliding mode observer (SMO)  uncertainty estimation