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20122022
most citedSequential Randomized Algorithms for Convex Optimization in the Presence of Uncertainty

56 citations · 181 across the 28 of their papers we have counts for

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Showing 2018Show all

6 papers · 1 filter

cs.SI2018

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…

math.OC2018

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.…

eess.SY2018

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…

eess.SY2018★ 12 cited

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…

eess.SY2018

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…

eess.SY2018★ 2 cited

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…