The steering system in autonomous vehicles is an essential issue that must be addressed.
Appropriate control will result in a smooth and risk-free steering system. Compared to other …

Abstract Autonomous Surface Vehicles (ASV) have been a subject undergoing intense study
since they provide good potential regarding reducing the cost, increasing safety, reliability …

Purpose This paper aims to keep the pendulum on the linear moving car vertically balanced
and to bring the car to the equilibrium position with the designed controllers …

Conventional control of robotic manipulators requires prior knowledge of their kinematic
structure. Model-learning controllers have the advantage of being able to control robots …

Fuzzy logic control algorithm solves problems that are difficult to address with traditional
control techniques. This paper describes an implementation of fuzzy logic control algorithm …

In this work, the effect of low air relative humidity on the operation of a polymer electrolyte
membrane fuel cell is investigated. An innovative method through performing in situ …

This paper presents a modification of the deep Q-network (DQN) in deep reinforcement
learning to control the angle of the inverted pendulum (IP). The original DQN method often …

This paper addresses some of the potential benefits of using ANFIS controllers to control an
inverted pendulum system. The stages of the development of a four input Adaptive-neuro …

This paper presents a novel approach to perform the task of cooperative transportation (CT)
by using multiple quadcopter drones. A leader-follower approach is utilized. Considering …

Cogeneration systems have been identified as a way to reduce primary energy
consumption, especially the ones using fossil fuels. Although this technology has already …