Gaussian estimates on networks with applications to optimal control. - Luca Di Persio; Giacomo Ziglio (Networks Heterog. Media, 2011)

Optimal control of stochastic FitzHugh-Nagumo equation. - Viorel Barbu; Francesco Giuseppe Cordoni; Luca Di Persio (Int. J. Control, 2016)

Gibbs sampling approach to regime switching analysis of financial time series. - Luca Di Persio; Matteo Frigo (J. Comput. Appl. Math., 2016)

Estimating the Counterparty Risk Exposure by Using the Brownian Motion Local Time. - Michele Bonollo; Luca Di Persio; Luca Mammi; Immacolata Oliva (Int. J. Appl. Math. Comput. Sci., 2017)

Mild solutions to the dynamic programming equation for stochastic optimal control problems. - Viorel Barbu; Chiara Benazzoli; Luca Di Persio (Autom., 2018)

A lending scheme for a system of interconnected banks with probabilistic constraints of failure. - Francesco Giuseppe Cordoni; Luca Di Persio; Luca Prezioso (Autom., 2020)

Minimal controllability time for systems with nonlinear drift under a compact convex state constraint. - Viktor Bezborodov; Luca Di Persio; Riccardo Muradore (Autom., 2021)

Stabilization of planar non-Markovian switched linear systems with unbounded random delays. - Viktor Bezborodov; Luca Di Persio; Riccardo Muradore (Eur. J. Control, 2021)

Stabilization of bilateral teleoperators with asymmetric stochastic delay. - Francesco Giuseppe Cordoni; Luca Di Persio; Riccardo Muradore (Syst. Control. Lett., 2021)

Deep Learning and Mean-Field Games: A Stochastic Optimal Control Perspective. - Luca Di Persio; Matteo Garbelli (Symmetry, 2021)

Discrete stochastic port-Hamiltonian systems. - Francesco Giuseppe Cordoni; Luca Di Persio; Riccardo Muradore (Autom., 2022)

Stochastic Port-Hamiltonian Systems. - Francesco Giuseppe Cordoni; Luca Di Persio; Riccardo Muradore (J. Nonlinear Sci., 2022)

Multi-Fractional Brownian Motion: Estimating the Hurst Exponent via Variational Smoothing with Applications in Finance. - Luca Di Persio; Gianni Turatta (Symmetry, 2022)

A Brownian-Markov stochastic model for cart-like wheeled mobile robots. - Federico Vesentini; Luca Di Persio; Riccardo Muradore (Eur. J. Control, 2023)

From Optimal Control to Mean Field Optimal Transport via Stochastic Neural Networks. - Luca Di Persio; Matteo Garbelli (Symmetry, 2023)

Weak Energy Shaping for Stochastic Controlled Port-Hamiltonian Systems. - Francesco Giuseppe Cordoni; Luca Di Persio; Riccardo Muradore (SIAM J. Control. Optim., 2023)

Volatility forecasting with hybrid neural networks methods for Risk Parity investment strategies. - Luca Di Persio; Matteo Garbelli; Fatemeh Mottaghi; Kai Wallbaum (Expert Syst. Appl., 2023)

Enhancing Multistep Brent Oil Price Forecasting with a Multi-Aspect Metaheuristic Optimization Approach and Ensemble Deep Learning Models. - Mohammed Alruqimi; Luca Di Persio (CoRR, 2024)

Minimum-energy switching geometric filter on lie groups for differential-drive wheeled mobile robots. - Federico Vesentini; Damiano Rigo; Nicola Sansonetto; Luca Di Persio; Riccardo Muradore (Eur. J. Control, 2024)

Multistep Brent oil price forecasting with a multi-aspect aeta-heuristic optimization and ensemble deep learning model. - Mohammed Alruqimi; Luca Di Persio (Energy Inform., 2024)

Enhancing Multi-step Brent Oil Price Forecasting with Ensemble Multi-scenario Bi-GRU Networks. - Mohammed Alruqimi; Luca Di Persio (Int. J. Comput. Intell. Syst., 2024)

On the relationship between stochastic and deterministic energy shaping techniques for stochastic port-Hamiltonian systems via invariant measure characterization. - Francesco Giuseppe Cordoni; Luca Di Persio; Riccardo Muradore (Autom., 2025)

Dynamic Movement Primitives With Control Barrier Functions for Constrained Trajectory Planning. - Federico Vesentini; Daniele Meli; Nicola Sansonetto; Luca Di Persio; Riccardo Muradore (IEEE Robotics Autom. Lett., 2025)