Abstract: The increasing variety of products has resulted in a rise in production errors, primarily due to more complexity in manufacturing processes. This paper proposes a data-driven inline ...

Abstract: Gaussian mixture model (GMM) filters tackle the intricacies of nonlinear and multimodal systems by representing probability distributions as a weighted sum of Gaussian components. However, ...

This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...