@inproceedings{4b03999ba3104920bac575b2d9806504,
title = "Intelligent Robust Adaptive Control of Variant Aircraft Based on Switched Linear Systems and Deep Q-Network",
abstract = "This paper focus on the intelligent robust adaptive control problem of a variant aircraft based on switched linear systems and deep Q-Network. A class of aircraft morphing with variable swept wings is modeled, and the corresponding uncertain switched linear system subject to disturbances is developed. In addition, an adaptive law based on leakage approach and a switching law utilized average dwell time method are presented, and the global uniform ultimate boundedness stability of the switched system is given. Combined with a DQN technique, an intelligent robust adaptive control pattern is proposed, which aims at improving robustness and transient performance of the controller systems. One numerical example is put forward to verify the effectiveness of the presented scheme at length.",
keywords = "Deep Q-network, Intelligent control, Robust adaptive control, Switched linear system, Variant aircraft",
author = "Junhua Huang and Guan Huang and Sheng Luo and Wenxing Fu and Yalan Jia",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 5th Chinese Conference on Swarm Intelligence and Cooperative Control, CCSICC 2021 ; Conference date: 19-01-2022 Through 22-01-2022",
year = "2023",
doi = "10.1007/978-981-19-3998-3_129",
language = "英语",
isbn = "9789811939976",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "1377--1388",
editor = "Zhang Ren and Yongzhao Hua and Mengyi Wang",
booktitle = "Proceedings of 2021 5th Chinese Conference on Swarm Intelligence and Cooperative Control",
}