The ball and beam (BnB) system serves as a benchmark in control engineering as it
provides a foundational concept applicable to addressing stabilization challenges of various …

Fuzzy Logic Controllers (FLCs) are intelligent control methods, where membership functions
and corresponding rules are defined to get a proper control signal. The parameters were …

This article presents a reference design for the well-known ball-on-beam laboratory
experiment, where a spherical ball without direct actuation is only balanced by the …

Stabilization and balancing are both very important and widespread problems in robotics
and control systems spheres of interest nowadays. Understanding the software and …

Use reinforcement learning to keep a ball centered on a ball and beam system. Show that
RL can learn to perform this task. We use a low-cost system that includes a 3D printed …

This paper discusses an efficient method to improve the balancing and tracking of the
trajectory of the BOPS based on machine learning (ML) algorithm with the Pseudo …

This paper develops a linear extended state observer (LESO) based sliding mode controller
(SMC) for the ball-beam system. Firstly, the model of the ball-beam system is established as …

A ball and beam system with unknown premise variables is described. A TS fuzzy model is
used to represent the ball and beam system. Since it is difficult to measure the internal state …