This paper presents a novel approach for controlling quadrotor robots. It introduces an
optimized nonlinear fractional order type-2 fuzzy system integrated with a Fractional Order …

Given the increased significance of electric vehicles in recent years, this study aimed to
develop a novel form of direct yaw-moment control (DYC) to enhance the driving stability of …

This paper proposes an event-triggered fault-tolerant time-varying formation control method
dedicated to multiple unmanned aerial vehicles (UAVs). We meticulously design a formation …

In this paper, a neuro-adaptive finite-time fault-tolerant control for a class of nonlinear
systems is proposed based on the backstepping method, considering model uncertainties …

An autonomous fault detection and fault-tolerant control solution combining Model Predictive
Control (MPC) and Label Distributed Learning (LDL) is developed for the position tracking …

Morphing aircrafts can adapt to complex mission environments, making them a future trend
in aircraft development. However, the complex environment poses significant challenges for …

Multirotor aerial vehicles are versatile flying robots that perform hovering, vertical take-off
and landing, and aggressive maneuvers in a 3D environment. Due to their underactuated …

This paper is concerned with the robust attitude tracking problem for quadrotors on the three-
dimensional special orthogonal group SO (3) with finite-time convergence via disturbance …

This paper proposes a robust adaptive fixed-time control for automatic landing systems
(ALS) of small-scale fixed-wing UAVs exposed to wind disturbances, parametric …

This paper presents a fixed‐time state observer‐based robust adaptive neural fault‐tolerant
control (RANFTC) for attitude and altitude tracking and control of quadrotor unmanned aerial …