activity
20122022
most citedChance constrained sets approximation: A probabilistic scaling approach -- EXTENDED VERSION

4 citations · 8 across the 7 of their papers we have counts for

collaborators

11 papers

eess.SY2022

3D Map Reconstruction of an Orchard using an Angle-Aware Covering Control Strategy

Martina Mammarella, Cesare Donati, Takumi Shimizu +7

In the last years, unmanned aerial vehicles are becoming a reality in the context of precision agriculture, mainly for monitoring, patrolling and remote sensing tasks, but also for…

math.ST2021

Prediction error quantification through probabilistic scaling -- EXTENDED VERSION

Victor Mirasierra, Martina Mammarella, Fabrizio Dabbene +1

In this paper, we address the probabilistic error quantification of a general class of prediction methods. We consider a given prediction model and show how to obtain, through a sa…

cs.SI2021

Graph structure based Heuristics for Optimal Targeting in Social Networks

M. Bini, P. Frasca, C. Ravazzi +1

We consider a dynamic model for competition in a social network, where two strategic agents have fixed beliefs and the non-strategic/regular agents adjust their states according to…

eess.SY20214 cited

Chance constrained sets approximation: A probabilistic scaling approach -- EXTENDED VERSION

Martina Mammarella, Victor Mirasierra, Matthias Lorenzen +2

In this paper, a sample-based procedure for obtaining simple and computable approximations of chance-constrained sets is proposed. The procedure allows to control the complexity of…

math.OC2021

On the Design of Structured Stabilizers for LTI Systems

Francesco Ferrante, Fabrizio Dabbene, Chiara Ravazzi

Designing a static state-feedback controller subject to structural constraint achieving asymptotic stability is a relevant problem with many applications, including network decentr…

eess.SY20202 cited

Learning hidden influences in large-scale dynamical social networks: A data-driven sparsity-based approach

Chiara Ravazzi, Fabrizio Dabbene, Constantino Lagoa +1

Interpersonal influence estimation from empirical data is a central challenge in the study of social structures and dynamics. Opinion dynamics theory is a young interdisciplinary s…