activity
20182026
most citedConvergence of Lasserre's hierarchy: the general case

22 citations · 38 across the 12 of their papers we have counts for

collaborators

14 papers

eess.SY2026

A Stochastic Tube-Based MPC Framework with Hard Input Constraints

Carlo Karam, Matteo Tacchi, Mirko Fiacchini

This work presents a stochastic tube-based model predictive control framework that guarantees hard input constraint satisfaction for linear systems subject to unbounded additive di…

math.OC2024★ 1 cited

Peak Time-Windowed Risk Estimation of Stochastic Processes

Jared Miller, Niklas Schmid, Matteo Tacchi +2

This paper develops a method to upper-bound extreme-values of time-windowed risks for stochastic processes. Examples of such risks include the maximum average or 90% quantile of th…

math.OC2024

Maximizing Slice-Volumes of Semialgebraic Sets using Sum-of-Squares Programming

Jared Miller, Chiara Meroni, Matteo Tacchi +1

This paper presents an algorithm to maximize the volume of an affine slice through a given semialgebraic set. This slice-volume task is formulated as an infinite-dimensional linear…

math.OC2024★ 1 cited

Unsafe Probabilities and Risk Contours for Stochastic Processes using Convex Optimization

Jared Miller, Matteo Tacchi, Didier Henrion +1

This paper proposes an algorithm to calculate the maximal probability of unsafety with respect to trajectories of a stochastic process and a hazard set. The unsafe probability esti…

math.OC2023★ 1 cited

Minimal-time nonlinear control via semi-infinite programming

Antoine Oustry, Matteo Tacchi

We address the problem of computing a control for a time-dependent nonlinear system to reach a target set in a minimal time. To solve this minimal time control problem, we introduc…

math.OC2023★ 1 cited

Robustly Learning Regions of Attraction from Fixed Data

Matteo Tacchi, Yingzhao Lian, Colin Jones

While stability analysis is a mainstay for control science, especially computing regions of attraction of equilibrium points, until recently most stability analysis tools always re…

math.OC2023

SOStab: a Matlab Toolbox for Transient Stability Analysis

Stéphane Drobot, Matteo Tacchi, Carmen Cardozo +1

This paper presents a new Matlab toolbox, aimed at facilitating the use of polynomial optimization for stability analysis of nonlinear systems. In the past decade several decisive…

math.OC2023

Peak Value-at-Risk Estimation of Stochastic Processes using Occupation Measures

Jared Miller, Matteo Tacchi, Mario Sznaier +1

This paper formulates algorithms to upper-bound the maximum Value-at-Risk (VaR) of a state function along trajectories of stochastic processes. The VaR is upper bounded by two meth…

math.OC2020★ 22 cited

Convergence of Lasserre's hierarchy: the general case

Matteo Tacchi

Lasserre's moment-SOS hierarchy consists of approximating instances of the generalized moment problem (GMP) with moment relaxations and sums-of-squares (SOS) strenghtenings that bo…

math.OC2020

Stokes, Gibbs and volume computation of semi-algebraic sets

Matteo Tacchi, Jean B Lasserre, Didier Henrion

We consider the problem of computing the Lebesgue volume of compact basic semi-algebraic sets. In full generality, it can be approximated as closely as desired by a converging hier…

eess.SY2019★ 11 cited

Approximating regions of attraction of a sparse polynomial differential system *

Didier Henrion, Matteo Tacchi, Carmen Cardozo +1

Motivated by stability analysis of large scale power systems, we describe how the Lasserre (moment-sums of squares, SOS) hierarchy can be used to generate outer approximations of t…

math.OC2019★ 1 cited

Inner approximations of the maximal positively invariant set for polynomial dynamical systems

Antoine Oustry, Matteo Tacchi, Didier Henrion

The Lasserre or moment-sum-of-square hierarchy of linear matrix inequality relaxations is used to compute inner approximations of the maximal positively invariant set for continuou…

math.OC2019

Exploiting Sparsity for Semi-Algebraic Set Volume Computation

Matteo Tacchi, Tillmann Weisser, Jean-Bernard Lasserre +1

We provide a systematic deterministic numerical scheme to approximate the volume (i.e. the Lebesgue measure) of a basic semi-algebraic set whose description follows a sparsity patt…

math.OC2018

Transient Stability Analysis of Power Systems via Occupation Measures

Cedric Josz, Daniel K. Molzahn, Matteo Tacchi +1

We propose the application of occupation measure theory to the classical problem of transient stability analysis for power systems. This enables the computation of certified inner…