@inproceedings{9726a9e3e3de4d9ca9b5572b64a929c3,
title = "Low-altitude Aircraft Interception Decision Based on Self-optimizing Fuzzy Inference",
abstract = "The large-scale application of low-altitude aircraft such as Miniature unmanned aerial vehicles has brought a series of hidden security issues. However, previous research in interception decision technology still has problems such as low level of intelligence in interception decision-making process. A method of interception decision with simple structure and fast calculation is definitely significant. This paper firstly introduces the security issues caused by low-altitude aircraft, then analyzes the shortcomings of current interception decision methods. A low-altitude aircraft interception decision-making method based on self-optimizing fuzzy inference is proposed. The method uses genetic algorithms to optimize the process of fuzzy inference offline through continuous iteration in order to obtain a fuzzy controller that meets the requirements. It can controll the entire decision-making process online to guarantee real-time decision. It is demonstrated in hypothetical simulations that it can intercept invading low-altitude aircraft online. As the final result, this method shows the ability to improve the success rate of interception effectively.",
keywords = "Genetic Algorithms, Interception Decision, Low-altitude Aircraft, Self-optimizing Fuzzy Inference",
author = "Jinxu Shi and Lin Deng and Xin Gao and Yipeng Liu and Jiang Wu",
note = "Publisher Copyright: {\textcopyright} 2020 Technical Committee on Control Theory, Chinese Association of Automation.; 39th Chinese Control Conference, CCC 2020 ; Conference date: 27-07-2020 Through 29-07-2020",
year = "2020",
month = jul,
doi = "10.23919/CCC50068.2020.9189100",
language = "英语",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "2199--2204",
editor = "Jun Fu and Jian Sun",
booktitle = "Proceedings of the 39th Chinese Control Conference, CCC 2020",
address = "美国",
}