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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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11 papers · 1 filter

math.OC2021★ 16 cited

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…

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.…

math.OC2017★ 5 cited

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…

math.OC2016

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…

math.OC2016★ 1 cited

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…

math.OC2015

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…

math.OC2015★ 4 cited

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…

math.OC2014★ 17 cited

An Improved Constraint-Tightening Approach for Stochastic MPC

Matthias Lorenzen, Frank Allgöwer, Fabrizio Dabbene +1

The problem of achieving a good trade-off in Stochastic Model Predictive Control between the competing goals of improving the average performance and reducing conservativeness, whi…

math.OC2014

Uniform sample generation in semialgebraic sets

Fabrizio Dabbene, Didier Henrion, Constantino Lagoa

We propose efficient techniques for generating independent identically distributed uniform random samples inside semialgebraic sets. The proposed algorithm leverages recent results…

math.OC2013★ 14 cited

A Statistical Learning Theory Approach for Uncertain Linear and Bilinear Matrix Inequalities

Mohammadreza Chamanbaz, Fabrizio Dabbene, Roberto Tempo +2

In this paper, we consider the problem of minimizing a linear functional subject to uncertain linear and bilinear matrix inequalities, which depend in a possibly nonlinear way on a…

math.OC2012★ 1 cited

Minimum volume semialgebraic sets for robust estimation

Fabrizio Dabbene, Didier Henrion

Motivated by problems of uncertainty propagation and robust estimation we are interested in computing a polynomial sublevel set of fixed degree and minimum volume that contains a g…