Abstract: A Wireless Sensor Network (WSN) is a distributed set of sensors deployed to work together for collective sensing and possible data processing. A WSN can be used to monitor environmental ...

Simulink Modeling is a powerful graphical environment for modeling, simulating, and analyzing dynamic systems. It integrates seamlessly with MATLAB and provides a block diagram interface for building ...

Thinking about learning Python? It’s a pretty popular language these days, and for good reason. It’s not super complicated, which is nice if you’re just starting out. We’ve put together a guide that ...

Introduction: This work presents an approach to collision avoidance in multi-agent systems (MAS) by integrating Conflict-Based Search (CBS) with Model Predictive Control (MPC), referred to as Conflict ...

ABSTRACT: This paper investigates the chaotic behavior of an electrodynamic tethered satellite system (ETSS) orbiting Earth in an inclined elliptical orbit. The system is modelled using a dumbbell ...

ABSTRACT: This study introduces a Hybrid Bimodal Model for Analog-to-Digital (ADC) and Digital-to-Analog (DAC) signal conversions, addressing limitations of traditional systems, such as inefficiencies ...

In this tutorial, we will guide you through building an advanced financial data reporting tool on Google Colab by combining multiple Python libraries. You’ll learn how to scrape live financial data ...

In the modern digital age, managing and extracting information from extensive PDF documents can be a daunting task. However, with the advancement of AI technology, tools like Bing AI in Microsoft Edge ...

Abstract: The book situates itself in a unique niche “between proportional-integral-derivative (PID) and model predictive control (MPC),” as a compromise between the tradeoffs and advantages of each.