Transient Stability Analysis of Power Systems via Occupation Measures. - Cédric Josz; Daniel K. Molzahn; Matteo Tacchi 001; Somayeh Sojoudi (ISGT, 2019)

Approximating regions of attraction of a sparse polynomial differential system. - Matteo Tacchi 001; Carmen Cardozo; Didier Henrion; Jean B. Lasserre (CoRR, 2019)

Inner Approximations of the Maximal Positively Invariant Set for Polynomial Dynamical Systems. - Antoine Oustry; Matteo Tacchi 001; Didier Henrion (IEEE Control. Syst. Lett., 2019)

Model Based Transient Stability Assessment for Power Systems. - Matteo Tacchi 001 (ECC, 2020)

Moment-SOS hierarchy for large scale set approximation.Application to power systems transient stability analysis. (Hiérarchie moments-SOS pour approximation ensembliste à grande échelle. Application à l'analyse de stabilité transitoire des systèmes électriques). - Matteo Tacchi 001 (2021)

Exploiting Sparsity for Semi-Algebraic Set Volume Computation. - Matteo Tacchi 001; Tillmann Weißer; Jean-Bernard Lasserre; Didier Henrion (Found. Comput. Math., 2022)

Convergence of Lasserre's hierarchy: the general case. - Matteo Tacchi 001 (Optim. Lett., 2022)

Peak Value-at-Risk Estimation for Stochastic Differential Equations Using Occupation Measures. - Jared Miller; Matteo Tacchi 001; Mario Sznaier; Ashkan Jasour (CDC, 2023)

SOStab: a Matlab Toolbox for Approximating Regions of Attraction of Nonlinear Systems. - Stéphane Drobot; Matteo Tacchi 001; Colin N. Jones (CoRR, 2023)

Stokes, Gibbs, and Volume Computation of Semi-Algebraic Sets. - Matteo Tacchi 001; Jean-Bernard Lasserre; Didier Henrion (Discret. Comput. Geom., 2023)

Peak Time-Windowed Mean Estimation using Convex Optimization. - Jared Miller; Niklas Schmid; Matteo Tacchi 001; Didier Henrion; Roy S. Smith (CDC, 2024)

Unsafe Probabilities and Risk Contours for Stochastic Processes using Convex Optimization. - Jared Miller; Matteo Tacchi 001; Didier Henrion; Mario Sznaier (CoRR, 2024)

Peak Time-Windowed Risk Estimation of Stochastic Processes. - Jared Miller; Niklas Schmid; Matteo Tacchi 001; Didier Henrion; Roy S. Smith (CoRR, 2024)

Specialized Effective Positivstellensätze for Improved Convergence Rates of the Moment-SOS Hierarchy. - Corbinian Schlosser; Matteo Tacchi 001 (IEEE Control. Syst. Lett., 2024)

Sequentially learning regions of attraction from data. - Oumayma Khattabi; Matteo Tacchi 001; Sorin Olaru (MED, 2025)

Robustly Learning Regions of Attraction From Fixed Data. - Matteo Tacchi 001; Yingzhao Lian; Colin N. Jones (IEEE Trans. Autom. Control., 2025)

Probabilistic Reachable Set Estimation for Saturated Systems with Unbounded Additive Disturbances. - Carlo Karam; Matteo Tacchi-Bénard; Mirko Fiacchini (CoRR, 2025)

Convex Computation of Value-at-Risk Bounds for Stochastic Processes. - Jared Miller; Matteo Tacchi 001; Mario Sznaier; Ashkan Jasour (IEEE Trans. Autom. Control., 2025)

Convex computation of regions of attraction from data using Sums-of-Squares programming. - Oumayma Khattabi; Matteo Tacchi-Bénard; Sorin Olaru (CoRR, 2025)