Precise near-ground trajectory control is difficult for multi-rotor drones, due to the complex
aerodynamic effects caused by interactions between multi-rotor airflow and the environment …

This article proposes a comparative method to assess the performance of artificial neural
network's direct inverse control (DIC‐ANN) with the PID control system. The comparison …

In this paper, we propose an adaptive control approach to deal with the problems of input
saturation, external disturbances, and uncertainty in the unmanned autonomous helicopter …

The controller system for quadrotor is a challenging research topic due to various
application purposes. The usually used controller for quadrotor is developed based on a PID …

Koopman operator theory has served as the basis to extract dynamics for nonlinear system
modeling and control across settings, including non-holonomic mobile robot control. There …

Robotic airships offer significant advantages in terms of safety, mobility, and extended flight
times. However, their highly restrictive weight constraints pose a major challenge regarding …

Performance Analysis of Ensemble Deep Learning NARX System for Estimating the Earthquake
Occurrences in the Subduction Zone of Java Island title Title Author Issue Keywords Current …

The quadcopter is a complex coupled nonlinear system with unstable behaviour, which
makes it difficult to control. Therefore, in this paper, we present an effective control method …

This study aims to develop an optimal autonomous control system for a three-wheeled robot
with two motors. The focus of this research is a neural network direct inverse controller …

The paper introduces a Data-driven Hierarchical Control (DHC) structure to improve
performance of systems operating under the effect of system and/or environment uncertainty …