56 citations · 181 across the 28 of their papers we have counts for
33 papers
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…
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…
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…
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…
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…
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…
Computationally efficient stochastic MPC: a probabilistic scaling approach
Martina Mammarella, Teodoro Alamo, Fabrizio Dabbene +1
In recent years, the increasing interest in Stochastic model predictive control (SMPC) schemes has highlighted the limitation arising from their inherent computational demand, whic…
A probabilistic validation approach for penalty function design in Stochastic Model Predictive Control
Martina Mammarella, Teodoro Alamo, Sergio Lucia +1
In this paper, we consider a stochastic Model Predictive Control able to account for effects of additive stochastic disturbance with unbounded support, and requiring no restrictive…
Social network analysis of electric vehicles adoption: a data-based approach
V. Breschi, M. Tanelli, C. Ravazzi +2
Mobility is undergoing dramatic transformations. Especially in the context of urban areas, several significant changes are underway, driven by both new mobility needs and environme…
A Physics-Based Attack Detection Technique in Cyber-Physical Systems: A Model Predictive Control Co-Design Approach
Mohammadreza Chamanbaz, Fabrizio Dabbene, Roland Bouffanais
In this paper a novel approach to co-design controller and attack detector for nonlinear cyber-physical systems affected by false data injection (FDI) attack is proposed. We augmen…
Identification of Switched Autoregressive and Switched Autoregressive Exogenous Systems from Large Noisy Data Sets
Sarah Hojjatinia, Constantino M. Lagoa, Fabrizio Dabbene
The paper introduces novel methodologies for the identification of coefficients of switched autoregressive and switched autoregressive exogenous linear models. We consider cases wh…
Learning Political DNA in the Italian Senate
Antonio Longo, Chiara Ravazzi, Fabrizio Dabbene +1
Motivated by the increasing interest of the control community towards social sciences and the study of opinion formation and belief systems, in this paper we address the problem of…
Algorithms for Optimal AC Power Flow in the Presence of Renewable Sources
Mohammadreza Chamanbaz, Fabrizio Dabbene, Constantino Lagoa
This chapter presents recent solutions to the optimal power flow (OPF) problem in the presence of renewable energy sources (RES), {such} as solar photo-voltaic and wind generation.…
Sample-based SMPC for tracking control of fixed-wing UAV: multi-scenario mapping
Martina Mammarella, Elisa Capello, Fabrizio Dabbene
In this paper, a guidance and tracking control strategy for fixed-wing Unmanned Aerial Vehicle (UAV) autopilots is presented. The proposed control exploits recent results on sample…
Randomized opinion dynamics over networks: influence estimation from partial observations
Chiara Ravazzi, Sarah Hojjatinia, Constantino M. Lagoa +1
In this paper, we propose a technique for the estimation of the influence matrix in a sparse social network, in which individual communicate in a gossip way. At each step, a ra…
Identification of Switched Autoregressive Systems from Large Noisy Data Sets
Sarah Hojjatinia, Constantino M. Lagoa, Fabrizio Dabbene
The paper introduces a novel methodology for the identification of coefficients of switched autoregressive linear models. We consider the case when the system's outputs are contami…
An Offline-Sampling SMPC Framework with Application to Automated Space Maneuvers
Martina Mammarella, Matthias Lorenzen, Elisa Capello +5
In this paper, a sampling-based Stochastic Model Predictive Control algorithm is proposed for discrete-time linear systems subject to both parametric uncertainties and additive dis…
AC optimal power flow in the presence of renewable sources and uncertain loads
Mohammadreza Chamanbaz, Fabrizio Dabbene, Constantino Lagoa
The increasing penetration of renewable energy resources, paired with the fact that load can vary significantly, introduce a high degree of uncertainty in the behavior of modern po…
Randomized and robust methods for uncertain systems using R-RoMulOC, with applications to DEMETER satellite benchmark
Mohammadreza Chamanbaz, Fabrizio Dabbene, Dimitri Peaucelle +2
R-RoMulOC is a freely distributed toolbox which aims at making easily available to the users different optimization-based methods for dealing with uncertain systems. It implements…
Sampling methods for multistage robust convex optimization problems
Francesca Maggioni, Marida Bertocchi, Fabrizio Dabbene +1
In this paper, probabilistic guarantees for constraint sampling of multistage robust convex optimization problems are derived. The dynamic nature of these problems is tackled via t…
Stochastic MPC with Offline Uncertainty Sampling
Matthias Lorenzen, Fabrizio Dabbene, Roberto Tempo +1
For discrete-time linear systems subject to parametric uncertainty described by random variables, we develop a sampling-based Stochastic Model Predictive Control algorithm. Unlike…
Constraint-Tightening and Stability in Stochastic Model Predictive Control
Matthias Lorenzen, Fabrizio Dabbene, Roberto Tempo +1
Constraint tightening to non-conservatively guarantee recursive feasibility and stability in Stochastic Model Predictive Control is addressed. Stability and feasibility requirement…
Simple Approximations of Semialgebraic Sets and their Applications to Control
Fabrizio Dabbene, Didier Henrion, Constantino Lagoa
Many uncertainty sets encountered in control systems analysis and design can be expressed in terms of semialgebraic sets, that is as the intersection of sets described by means of…
Randomized Approximations of the Image Set of Nonlinear Mappings with Applications to Filtering
Fabrizio Dabbene, Didier Henrion, Constantino Lagoa +1
The aim of this paper is twofold: In the first part, we leverage recent results on scenario design to develop randomized algorithmsfor approximating the image set of a nonlinear ma…