23 citations · 26 across the 3 of their papers we have counts for
3 papers
Damping Identification Sensitivity in Flutter Speed Estimation
Gabriele Dessena, Alessandro Pontillo, Marco Civera +3
Predicting flutter remains a key challenge in aeroelastic research, with certain models relying on modal parameters, such as natural frequencies and damping ratios. These models ar…
A Paradigm Shift to Assembly-like Finite Element Model Updating
Gabriele Dessena, Alessandro Pontillo, Dmitry I. Ignatyev +2
In general, there is a mismatch between a finite element model {(FEM)} of a structure and its real behaviour. In aeronautics, this mismatch must be small because {FEM}s are a funda…
Deep Reinforcement Learning based Local Planner for UAV Obstacle Avoidance using Demonstration Data
Lei He, Nabil Aouf, James F. Whidborne +1
In this paper, a deep reinforcement learning (DRL) method is proposed to address the problem of UAV navigation in an unknown environment. However, DRL algorithms are limited by the…