9 citations · 16 across the 4 of their papers we have counts for
10 papers · 1 filter
Lyapunov Stability Analysis of a Mass-Spring system subject to Friction
Matthieu Barreau, Sophie Tarbouriech, Frederic Gouaisbaut
This paper deals with the stability analysis of a mass-spring system subject to friction using Lyapunov-based arguments. As the described system presents a stick-slip phenomenon, t…
Physics-informed Learning for Identification and State Reconstruction of Traffic Density
Matthieu Barreau, Miguel Aguiar, John Liu +1
We consider the problem of traffic density reconstruction using measurements from probe vehicles (PVs) with a low penetration rate. In other words, the number of sensors is small c…
Learning-based Traffic State Reconstruction using Probe Vehicles
John Liu, Matthieu Barreau, Mladen Cicic +1
This article investigates the use of a model-based neural-network for the traffic reconstruction problem using noisy measurements coming from probe vehicles. The traffic state is a…
Learning-based State Reconstruction for a Scalar Hyperbolic PDE under noisy Lagrangian Sensing
M. Barreau, J. Liu, K. H. Johansson
The state reconstruction problem of a heterogeneous dynamic system under sporadic measurements is considered. This system consists of a conversation flow together with a multi-agen…
Numerical Investigation of Traffic State Reconstruction and Control Using Connected Automated Vehicles
Mladen Cicic, Matthieu Barreau, Karl Henrik Johansson
In this paper we present a numerical study on control and observation of traffic flow using Lagrangian measurements and actuators. We investigate the effect of some basic control a…
Dynamic Traffic Reconstruction using Probe Vehicles
Matthieu Barreau, Anton Selivanov, Karl Henrik Johansson
This article deals with the observation problem in traffic flow theory. The model used is the semilinear viscous Burgers equation. Instead of using the traditional fixed sensors to…