TY - JOUR
T1 - Prescribed-Time Adaptive Fuzzy Tracking Control of UAV Swarms Under Deception Attack
AU - Liu , Shuchang
AU - Song , Gongfei
JO - Journal of Information and Computing Science
VL - 2
SP - 155
EP - 170
PY - 2025
DA - 2025/05
SN - 19
DO - http://doi.org/10.4208/JICS-2024-009
UR - https://global-sci.org/intro/article_detail/jics/24064.html
KW - UAV swarm control, Deception attack, Prescribed-time control, Fuzzy logic system.
AB - <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>