@Article{JICS-19-155,
author = {Liu , Shuchang and Song , Gongfei},
title = {Prescribed-Time Adaptive Fuzzy Tracking Control of UAV Swarms Under Deception Attack},
journal = {Journal of Information and Computing Science},
year = {2025},
volume = {19},
number = {2},
pages = {155--170},
abstract = {<p style="text-align: justify;">In addressing the tracking control problem for unmanned aerial vehicle
(UAV) swarms, we consider several challenges: the unmeasurable state of the swarm
system, potential deception attacks on actuators, external random disturbances, and the
nonlinear dynamics of each UAV. To tackle these issues, we first introduce a time-varying
function and utilize a coordinate transformation method to convert the time tracking
problem into an error variable constraint problem. Next, we propose an adaptive time
tracking control method employing one-to-one mapping and inversion techniques, aimed
at achieving system convergence to a specified accuracy within a designated time frame.
To mitigate the impact of possible deception attacks on actuators, we design an attack
compensator that removes disturbances caused by time-varying attack gains. Additionally, we implement an observer to estimate the unmeasurable state of the system and
utilize a fuzzy logic system to manage unknown functions. Finally, we validate the
effectiveness of our control method through simulations.</p>},
issn = {3080-180X},
doi = {https://doi.org/10.4208/JICS-2024-009},
url = {http://global-sci.org/intro/article_detail/jics/24064.html}
}