Toto leto som mal príležitosť absolvovať odbornú prax v cementárni Danucem v Rohožníku, kde som bol pridelený na oddelenie procesov. Moja práca sa zameriavala na riešenie automatizačných výziev v rámci výroby cementu. Okrem toho som poskytoval podporu kolegom procesným inžinierom Read more…
The rapid advancement of artificial intelligence (AI) and machine learning (ML) has significantly transformed various fields, particularly process control. Traditionally reliant on human capabilities, these areas now benefit from technologies enabling machines to perform tasks autonomously, thereby enhancing the efficiency Read more…
In today’s rapidly advancing technological landscape, home automation has become more accessible than ever before. An increasing number of devices are designed to automate, protect, and monitor homes and offices, making it possible for many people to implement a smart Read more…
In this semestral project, we delved into the world of Model Predictive Control (MPC). MPC is used in various applications such as robotics and process control, due to its ability to handle multi-variable control problems with constraints. This semester, we Read more…
In the world of control systems, Linear Quadratic Regulator (LQR) controllers have long been a staple for managing linear systems due to their simplicity. However, the rise of machine learning, particularly neural networks, offers an intriguing alternative to traditional control Read more…
We’re excited to announce our collaboration with the University of Edinburgh on an innovative project called Remote Laboratories. This initiative promises to revolutionize the way students engage with laboratory experiments and learning. Remote Labs allow students to connect to real Read more…
In modern medicine and pharmaceutical research, molecular docking plays a key role in the identification of potential drugs. This process allows scientists to simulate interactions between small molecules (ligands) and target proteins, which helps predict how effective these molecules might Read more…
In the realm of modern agriculture, ensuring optimal growing conditions is crucial for maximizing yield and quality. This challenge is particularly pronounced in greenhouse environments where factors such as temperature, humidity, and CO2 levels must be meticulously controlled. Traditional control Read more…
In this semestral project, we identified and controlled a device named Flexy, which represents a simple dynamical single-input single-output (SISO) system. The control input is a fan speed and the controlled output is a flex bend sensor. (An increase in Read more…
In today’s data-driven world, precise decision-making hinges on accurate data analysis. However, anomalies—unusual data points that differ significantly from the rest of the dataset—can still arise, posing challenges to this process. Anomaly detection, which identifies these outliers, and root cause Read more…