Control's collection of resources to help with digital twin education and implementation, from Aveva, Nvidia and more ...

We have considerable expertise in MPC as a powerful tool for providing optimal control in dynamic environments, ensuring real-time performance and adaptability. Our work includes developing predictive ...

A nuclear power plant (NPP) contains thousands of components and equipment, such as motors, pumps or valves that have to be operated in a well-coordinated way. This coordination is performed by ...

Abstract: This work focuses on the design and implementation of an autonomous flight control system for a MATLAB-based Minidrone using the Parrot Support Package. The primary objective is to develop a ...

Tyler has worked on, lived with and tested all types of smart home and security technology for over a dozen years, explaining the latest features, privacy tricks, and top recommendations. With degrees ...

Abstract: This paper presents a practical control approach for a cart-pole system, focusing on system identification, friction compensation, and rail limit management. First, a system model is ...

A five-stage progressive study of modern automatic control applied to the Double Inverted Pendulum on a Cart (DIPC). Each Funwork explores one core topic: Lyapunov stability theory, optimal LQR design ...

Welcome to this tutorial where we'll demonstrate how to work with large datasets in KDB-X to analyze time-series data. One of the key features of KDB-X is its ability to handle huge volumes of data ...