@inproceedings{b5893dd5936942159c00511df33b8ed4,
title = "Self-tuning Robust Missile Guidance Law Design",
abstract = "Considering the background of effective optimization and improvement of air defense missile performance, a self-tunning robust guidance law considering the energy miss distance constraints is designed based on an iterative extremum seeking algorithm. A nominal optimal robust guidance law with energy and terminal miss distance constraints is designed firstly. Using the iterative extremum seeking algorithm to auto-tuning the feedback parameters of the nominal guidance law. Then, the Lyapunov equation is used to verify the global stability of the designed guidance law. Finally, Mathematical simulations show that the designed method has the characteristics of good practicability, high precision, and strong robustness.",
keywords = "Iterative extremum seeking algorithm, Multi-parameter auto-tuning, Robust guidance law",
author = "Lin, \{Shih Yao\} and Liu, \{Jia qi\} and Guang Zhang and Jiang Wang and Lei, \{Hong bo\}",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; International Conference on Guidance, Navigation and Control, ICGNC 2022 ; Conference date: 05-08-2022 Through 07-08-2022",
year = "2023",
doi = "10.1007/978-981-19-6613-2\_382",
language = "English",
isbn = "9789811966125",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "3922--3931",
editor = "Liang Yan and Haibin Duan and Yimin Deng and Liang Yan",
booktitle = "Advances in Guidance, Navigation and Control - Proceedings of 2022 International Conference on Guidance, Navigation and Control",
address = "Germany",
}