3 papers
stat.AP2020
The Ockham's razor applied to COVID-19 model fitting French data
Mirko Fiacchini, Mazen Alamir
This paper presents a data-based simple model for fitting the available data of the Covid-19 pandemic evolution in France. The time series concerning the 13 regions of mainland Fra…
eess.SY2020
Probabilistically Certified Region of Attraction of a Tumor Growth Model with Combined Chemo- and Immunotherapy
Kaouther Moussa, Mirko Fiacchini, Mazen Alamir
This paper deals with the estimation of regions of attraction (RoAs) under parametric uncertainties for a cancer growth model with combined therapies. We propose a framework of pro…
eess.SY2020
Probabilistic reachable and invariant sets for linear systems with correlated disturbance
Mirko Fiacchini, Teodoro Alamo
In this paper a constructive method to determine and compute probabilistic reachable and invariant sets for linear discrete-time systems, excited by a stochastic disturbance, is pr…