@inproceedings{5d57c05fd5684bc783e001534982f48f,
title = "Adaptive Fuzzy Secure Consensus Control of Nonlinear Multi-Agent Systems Under Deception Attacks",
abstract = "This paper investigates the secure consensus control problem for nonlinear multi-agent systems (MASs) under de-ception attacks. The main characteristic of the proposed secure consensus control method is its ability to mitigate undesirable system behaviors caused by deception attacks at the communication links among different agents. In particular, the relationship between the compromised signals and the output signals of MASs is analyzed. Furthermore, a novel Nussbaum function and an adaptive fuzzy law are respectively proposed to tackle the unknown control direction and to estimate the unknown terms caused by deception attacks. Simulation results are presented to demonstrate the validity of the proposed adaptive consensus secure control method.",
keywords = "Adaptive secure consensus, Nussbaum function, fuzzy control deception attacks, multi-agent systems",
author = "Yannan Bi and Pansheng Ding and Fei Wang and Tong Wang and Jianbin Qiu",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2024 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2024 ; Conference date: 10-08-2024 Through 13-08-2024",
year = "2024",
doi = "10.1109/iFUZZY63051.2024.10662875",
language = "英语",
series = "2024 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2024 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2024",
address = "美国",
}