Remote sensing has traditionally be done with satellites and manned aircraft. While these
methods can yield useful scientific data, satellites and manned aircraft have limitations in …

This paper proposes a new adaptive linear domain system identification method for small
unmanned aerial rotorcraft. By using the flash memory integrated into the micro guide …

This project presents the performance analysis of the radial basis function neural network
(RBF) trained with Minimal Resource Allocating Network (MRAN) algorithm for real-time …

Small low-cost unmanned aerial vehicles (UAVs) provide greater possibilities for personal
scientific research than other conventional platforms such as satellites or manned aircraft. In …

Loss of control in-flight is the cause of 70% of all the fatalities occurring in aircraft with a take-
off mass greater than 5,700 kg, and human error is present in 55% of these incidents. The …

This paper presents an adaptive information fusion method to improve the accuracy and
reliability of the altitude measurement information for small unmanned aerial rotorcraft …

Electrohydrostatic actuators (EHAs), as a class of pump-controlled hydraulic actuators, are
known for energy efficiency and easy maintainability. Thus, they can be widely used in the …

The quadplane has become the favorite UAV platform for drone delivery. The dynamics and
control of the quadplane UAV are extremely complex, unstable, and nonlinear due to its …

Recently non-linear control methods like Model Predictive Control (MPC) and
Reinforcement Learning (RL) have attracted increased interest in the quadrotor control …

In this paper, we present a practical and systematic method of model identification and
controller design for a quadrotor tail-sitter UAV that is susceptible to significant model …