Additive manufacturing, such as 3D printing, provides an excellent opportunity to design metamaterials: materials with an engineered structure that leads to desired properties such as, for instance, ...

Mobile robots are increasingly deployed in applications ranging from household cleaning to hazardous industrial inspection, ...

Abstract: Harmonic model predictive control (HMPC) is a recent model predictive control (MPC) formulation for tracking piece-wise constant references that includes a parameterized artificial harmonic ...

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 ...

The application of unmanned aerial vehicles and autonomous drones in emergency and rescue operations has been rapidly increasing, as the use of drones in these situations enables real-time aerial data ...

do-mpc is a comprehensive open-source toolbox for robust model predictive control (MPC) and moving horizon estimation (MHE). do-mpc enables the efficient formulation and solution of control and ...

The prediction model was developed by using the random survival forest (RSF), and its performance was evaluated against the Cox model, integrated area under the curve (iAUC), consistency index (C ...

The model performance was identified by the area under the curve (AUC) and other evaluation indexes. The Shapley additive explanations (SHAP) method was adopted to rank the feature importance and ...

An approach through Agile development and model quality simulation. The concept-development and acquisition communities have long treated artificial intelligence and machine learning (AI/ML) as ...