@article{Zhou2025, 
author = {Minglong Zhou and Xiongfeng Deng},
title = {Adaptive Fuzzy Sliding-Mode Tracking Control for a VTOL Aircraft System Under Predefined Performance},
year = {2025},
journal = {Unmanned Systems},
volume = {13},
number = {3},
pages = {789-799},
keywords = {Fuzzy logic system, sliding-mode control, VTOL aircraft, predefined performance, adaptive control},
url = {https://www.sciopen.com/article/10.1142/S2301385025500487},
doi = {10.1142/S2301385025500487},
abstract = {The predefined performance tracking control issue of a vertical take-off and landing (VTOL) aircraft system is discussed in this work. Employing the presented control performance function, the constrained error signal of the aircraft is switched into an equivalent unconstrained signal. Moreover, fuzzy logic systems are introduced to address unknown nonlinear dynamics problems in aircraft system. Furthermore, in order to address the approximation errors and the external disturbances of aircraft system, parameter-adaptive update laws are proposed in the analysis process. Subsequently, adaptive fuzzy sliding-mode control laws are designed by combining fuzzy control method with sliding-mode control technique. By applying the redesigned sliding-mode functions and the Lyapunov stability method, the output of the VTOL aircraft system can track the desired trajectory, and the tracking errors are constrained in a predefined range. Finally, the availability of the proposed control laws is testified through simulation examples.}
}