External disturbances, uncertain parameters, asymmetric saturation input, and high
computational burden can significantly damage the attitude tracking control performance of …

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 research delves into the development and evaluation of two distinct controllers for a 3-
DoF robotic arm in the context of Industry 4.0. Two primary control strategies are presented …

Quadrotors are widely applied in many fields, but they often face various external
disturbances in actual operation. This makes it necessary to design a controller that can …

In this study, a hybrid method based on the marine predators algorithm (MPA) and adaptive
neuro-fuzzy inference system (ANFIS) is presented to identify nonlinear systems exhibiting …

In this paper, a robust path-following control strategy is proposed to deal with the path-
following problem of the underactuated autonomous underwater vehicle (AUV) with multiple …

Quadrotor unmanned aerial vehicles (QUAVs) are widely recognized for their versatility and
advantages across diverse applications. However, their inherent instability and …

This paper studies the adaptive finite-time fuzzy control issue associated with uncertain
nonlinear systems that exhibit asymmetric constraints on the full state. A distinct function …

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 …