The following article describes a simple control system approach where the Model Predictive Controller is applied. The article discusses the basic mechanism for this type of control which is willingly applicable in various engineering domains. The MPC involves the prediction of the system behavior in the future (model described by…

Central Pattern Generators (CPGs) are neural circuits or networks found in the central nervous system of animals, including humans. They are responsible for generating rhythmic motor patterns, such as walking, swimming, or breathing, without requiring constant input from the brain. …

The shallow water equations are fundamental equations used to model the behavior of water in shallow regions, such as rivers, lakes, and coastal areas. They provide a simplified representation of fluid flow dynamics, making them valuable in various applications, including flood forecasting, storm surge prediction, and coastal engineering design. …

Modal analysis is a technique used in engineering and physics to study the dynamic characteristics of a system or structure. It involves analyzing the natural modes of vibration or oscillation of a system and the corresponding frequencies, damping factors, and mode shapes. In modal analysis, the system under study is…

In this article, I will present a comprehensive approach to further expanding upon my previous work by incorporating simulation capabilities into the development of a dynamic model for a self-balance robot, specifically a Segway. The model will be described using second-order motion equations based on Lagrangian mechanics. While our focus…

The study of oscillator systems is crucial in understanding the dynamic behavior of various physical systems. In this article, we focus on an oscillator system consisting of two masses connected by three springs. I discussed these phenomena in my previous article. The current goal is to analyze the system’s natural…

This article serves as a continuation of my previous article, which provided an introduction to the Rapidly Exploring Random Tree algorithm. In this article, I have extended the algorithm's implementation using simulation in ImGui C++. The simulation involves an obstacle that moves within the robot environment space. The computation time…

The following article demonstrates the visualization of climate change which was observed by NASA. Daniel Shiffman from The Coding Train inspired me to replicate the simulation in C++. The dataset provided by NASA includes monthly temperature anomalies from the period 1880 to 2023. The reference (baseline) for the anomaly dataset is the period from 1951–1980 of the global surface temperature. Similarly to Daniel S., I plotted the data set on the spiral curved. As the years go on, the oranges and reds in the visualization show warmer temperatures and global warming.

The following article provides you mathematical background and especially the intuition to understand convolution. Since the convolution is applicable in a different domain, I will focus on digital signal processing only. Convolution can be simply described as combining two signals. By simplification, we can assume that before the analog signal is…