6 papers
A Retrieval-Augmented Language Assistant for Unmanned Aircraft Safety Assessment and Regulatory Compliance
Gabriele Immordino, Andrea Vaiuso, Marcello Righi
This paper presents the design and validation of a retrieval-based assistant that supports safety assessment, certification activities, and regulatory compliance for unmanned aircr…
Methods for Multi-objective Optimization PID Controller for quadrotor UAVs
Andrea Vaiuso, Gabriele Immordino, Ludovica Onofri +2
Integrating unmanned aerial vehicles into daily use requires controllers that ensure stable flight, efficient energy use, and reduced noise. Proportional integral derivative contro…
Generative Spatio-temporal GraphNet for Transonic Wing Pressure Distribution Forecasting
Gabriele Immordino, Andrea Vaiuso, Andrea Da Ronch +1
This study presents a framework for predicting unsteady transonic wing pressure distributions, integrating an autoencoder architecture with graph convolutional networks and graph-b…
Parametric Nonlinear Volterra Series via Machine Learning: Transonic Aerodynamics
Gabriele Immordino, Andrea Da Ronch, Marcello Righi
This study introduces an approach for modeling unsteady transonic aerodynamics within a parametric space, using Volterra series to capture aerodynamic responses and machine learnin…
Multi-Fidelity Bayesian Neural Network for Uncertainty Quantification in Transonic Aerodynamic Loads
Andrea Vaiuso, Gabriele Immordino, Marcello Righi +1
Multi-fidelity models are becoming more prevalent in engineering, particularly in aerospace, as they combine both the computational efficiency of low-fidelity models with the high…
Predicting Transonic Flowfields in Non-Homogeneous Unstructured Grids Using Autoencoder Graph Convolutional Networks
Gabriele Immordino, Andrea Vaiuso, Andrea Da Ronch +1
This paper focuses on addressing challenges posed by non-homogeneous unstructured grids, commonly used in Computational Fluid Dynamics (CFD). Their prevalence in CFD scenarios has…