There are two indispensable methodologies for autonomous flights performed by unmanned
aerial vehicles (UAV). The first is flight control, and the other is simultaneous localization and …

Motion control theory applied to multi-rotor aerial vehicles (MAVs) has gained attention with
the recent increase in the processing power of computers, which are now able to perform the …

In this paper, a deep reinforcement learning-based robust control strategy for quadrotor
helicopters is proposed. The quadrotor is controlled by a learned neural network which …

This article presents a survey of unmanned aerial vehicle (UAV) applications in smart cities,
emphasizing integration challenges. Smart cities leverage innovative technologies …

Model predictive control (MPC) has been considered as a promising alternative for the
control of nonlinear systems. However, this controller suffers from a challenge that it is …

We introduce a new adaptive control technique based on the second-order strictly negative
imaginary (SNI) controller, coupled with the interval type-2 fuzzy self-tuning mechanism. We …

This paper presents a hybrid nonlinear control system, comprising of a conventional
proportional-differential (PD) controller and a PD-type fuzzy logic autopilot for the trajectory …

In this article, we introduce an adaptive strictly negative-imaginary (SNI) autopilot for a low-
cost quadrotor aerial vehicle, specifically designed to achieve high precision hovering and …

Recently, Type-2 fuzzy systems have become increasingly prominent as they have been
applied to various nonlinear control applications. This article presents an adaptive fuzzy …

Leveraging the benefits of the multiobjective particle swarm optimization (PSO) technique,
we introduce a new concept of adaptive strictly negative imaginary (SNI) controllers. The …