Neural-Network-Based Adaptive Finite-Time Control for a Two-Degree-of-Freedom Helicopter System With an Event-Triggering Mechanism
Neural-Network-Based Adaptive Finite-Time Control for a Two-Degree-of-Freedom Helicopter System With an Event-Triggering Mechanism
摘要
关键词
Adaptive neural-network control/event-triggering mechanism(ETM)/finite time/two-degree-of-freedom helicopterKey words
Adaptive neural-network control/event-triggering mechanism(ETM)/finite time/two-degree-of-freedom helicopter引用本文复制引用
Zhijia Zhao,Jian Zhang,Shouyan Chen,Wei He,Keum-Shik Hong..Neural-Network-Based Adaptive Finite-Time Control for a Two-Degree-of-Freedom Helicopter System With an Event-Triggering Mechanism[J].自动化学报(英文版),2023,10(8):1754-1765,12.基金项目
This work was supported in part by the National Natural Science Foundation of China(62273112,62061160371,61933001,51905115),the Science and Technology Planning Project of Guangzhou City(202201010758),the Guangzhou University-Hong Kong University of Science and Technology Joint Research Collaboration Fund(YH202205),the Open Research Fund from the Guangdong Laboratory of Artificial Intelligence and Digital Economy(Shenzhen(SZ))(GML-KF-22-27),and the Korea Institute of Energy Technology Evaluation and Planning Through the Auspices of the Ministry of Trade,Industry and Energy,Republic of Korea(20213030020 160).Recommended by Associate Editor Derui Ding.(Corresponding authors:Zhijia Zhao and Shouyan Chen.) (62273112,62061160371,61933001,51905115)