Sabzalian M. H., Zhakiyev N., Yedilkhan D., Mohammadzadeh A.
An Intelligent Control Strategy for UAVs Using Adaptive Type-3 Fuzzy Logic with Real-Time Uncertainty Bounds and Parallel Auxiliary Compensation // Results in Control and Optimization. — 2026. — Article No. 100690. — DOI: 10.1016/j.rico.2026.100690.

Abstract: This paper presents a novel intelligent control strategy for unmanned aerial vehicles (UAVs) using Type-3 fuzzy logic systems (T3-FLSs). UAVs are widely used in diverse applications but face significant challenges due to uncertain dynamics and environmental disturbances. To address these issues, a robust T3-FLS-based nonlinear control framework is proposed. The method introduces online adaptation laws for optimizing the fuzzy system and estimating uncertainty bounds in real time. Based on these estimations, a supplementary controller is designed to operate in parallel with the main T3-FLS controller, improving robustness and tracking performance. Theoretical analysis confirms system stability under the proposed adaptive mechanisms. Simulation results demonstrate strong performance under sinusoidal disturbances, stochastic noise, and unknown nonlinear dynamics, validating the effectiveness and resilience of the proposed control strategy.

Link / DOI: https://doi.org/10.1016/j.rico.2026.100690