Photoelectrothermal model predictive control for Light Emitting Diodes. - Silvio Baccari; Massimo Tipaldi; Luigi Iannelli; Francesco Vasca (CDC, 2012)

Fault detection and resolution based on extended time failure propagation graphs. - Luigi Troiano; Antonio Di Cerbo; Massimo Tipaldi; Maria Carmela Vitelli (SoCPaR, 2013)

A domain specific language oriented to fault detection, isolation and recovery. - Maria Carmela Vitelli; Massimo Tipaldi; Luigi Troiano (SoCPaR, 2013)

Survey on Fault Detection, Isolation, and Recovery Strategies in the Space Domain. - Massimo Tipaldi; Bernhard Bruenjes (J. Aerosp. Inf. Syst., 2015)

State aggregation approximate dynamic programming for model-based spacecraft autonomy. - Massimo Tipaldi; Luigi Glielmo (ECC, 2016)

Model Predictive Control for Luminous Flux Tracking in Light-Emitting Diodes. - Silvio Baccari; Francesco Vasca; Massimo Tipaldi; Luigi Iannelli (IEEE Trans. Control. Syst. Technol., 2017)

Price Management in Resource Allocation Problem with Approximate Dynamic Programming. - Ali Forootani; Massimo Tipaldi; Davide Liuzza; Luigi Glielmo (ECC, 2018)

A Survey on Model-Based Mission Planning and Execution for Autonomous Spacecraft. - Massimo Tipaldi; Luigi Glielmo (IEEE Syst. J., 2018)

Condition Based Maintenance for Industrial Labeling Machine. - Antonio Acernese; Carmen Del Vecchio; Massimo Tipaldi; Luigi Glielmo (ICSRS, 2019)

Satellite long-term storage as an application of Industry 4.0 technologies in Space. - Massimo Tipaldi; Davide De Pasquale; Luca Germano; Leonardo Scinto (SMC, 2019)

A data-driven approximate dynamic programming approach based on association rule learning: Spacecraft autonomy as a case study. - Gianni D'Angelo; Massimo Tipaldi; Francesco Palmieri 002; Luigi Glielmo (Inf. Sci., 2019)

Model Checking Techniques Applied to Satellite Operational Mode Management. - Vittoria Nardone; Antonella Santone; Massimo Tipaldi; Davide Liuzza; Luigi Glielmo (IEEE Syst. J., 2019)

On applying AI-driven flight data analysis for operational spacecraft model-based diagnostics. - Massimo Tipaldi; Lorenzo Feruglio; Pierre Denis; Gianni D'Angelo (Annu. Rev. Control., 2020)

Approximate dynamic programming for stochastic resource allocation problems. - Ali Forootani; Raffaele Iervolino; Massimo Tipaldi; Joshua Neilson (IEEE CAA J. Autom. Sinica, 2020)

A Least-Squares Temporal Difference based method for solving resource allocation problems. - Ali Forootani; Massimo Tipaldi; Majid Ghaniee Zarch; Davide Liuzza; Luigi Glielmo (IFAC J. Syst. Control., 2020)

Applying analytical and empirical schedulability analysis techniques to a real spacecraft flight software. - Nunzio Cecere; Massimo Tipaldi; Davide De Pasquale (Int. J. Embed. Syst., 2020)

Analysis of artificial neural network performance based on influencing factors for temperature forecasting applications. - M. Madhiarasan; Massimo Tipaldi; Pierluigi Siano (J. High Speed Networks, 2020)

A Deep Q-Learning based approach applied to the Snake game. - Alessandro Sebastianelli; Massimo Tipaldi; Silvia Liberata Ullo; Luigi Glielmo (MED, 2021)

A Reinforcement Learning approach for pedestrian collision avoidance and trajectory tracking in autonomous driving systems. - Luigi Russo 002; Mario Terlizzi; Massimo Tipaldi; Luigi Glielmo (SysTol, 2021)

Allocating resources via price management systems: a dynamic programming-based approach. - Ali Forootani; Davide Liuzza; Massimo Tipaldi; Luigi Glielmo (Int. J. Control, 2021)

Modelling and solving resource allocation problems via a dynamic programming approach. - Ali Forootani; Massimo Tipaldi; Majid Ghaniee Zarch; Davide Liuzza; Luigi Glielmo (Int. J. Control, 2021)

Reinforcement learning in spacecraft control applications: Advances, prospects, and challenges. - Massimo Tipaldi; Raffaele Iervolino; Paolo Roberto Massenio (Annu. Rev. Control., 2022)

Transmission scheduling for multi-process multi-sensor remote estimation via approximate dynamic programming. - Ali Forootani; Raffaele Iervolino; Massimo Tipaldi; Subhrakanti Dey (Autom., 2022)

Enhanced Exploration Least-Squares Methods for Optimal Stopping Problems. - Ali Forootani; Massimo Tipaldi; Raffaele Iervolino; Subhrakanti Dey (IEEE Control. Syst. Lett., 2022)

A Consensus Q-Learning Approach for Decentralized Control of Shared Energy Storage. - Amit Joshi; Massimo Tipaldi; Luigi Glielmo (IEEE Control. Syst. Lett., 2023)

A stochastic dynamic programming approach for the machine replacement problem. - Ali Forootani; Majid Ghaniee Zarch; Massimo Tipaldi; Raffaele Iervolino (Eng. Appl. Artif. Intell., 2023)

A Lyapunov-based version of the value iteration algorithm formulated as a discrete-time switched affine system. - Raffaele Iervolino; Massimo Tipaldi; Ali Forootani (Int. J. Control, 2023)

Gain-Scheduled Structured Control in DC Microgrids. - Paolo Roberto Massenio; Massimo Tipaldi; Gianluca Rizzello; Elia Brescia; Giuseppe Leonardo Cascella; David Naso (IEEE Trans. Control. Syst. Technol., 2023)

Design of Exponentially Stabilizers for Distributed Control Systems Subject to Cyber Disconnections. - Paolo Roberto Massenio; Massimo Tipaldi; David Naso; Gianluca Rizzello (MED, 2024)

A kernel-based approximate dynamic programming approach: Theory and application. - Ali Forootani; Raffaele Iervolino; Massimo Tipaldi; Silvio Baccari (Autom., 2024)

Off-Policy Temporal Difference Learning for Perturbed Markov Decision Processes. - Ali Forootani; Raffaele Iervolino; Massimo Tipaldi; Mohammad Khosravi (IEEE Control. Syst. Lett., 2024)

A dynamic programming approach for energy management in hybrid electric vehicles under uncertain driving conditions. - Junpeng Deng; Massimo Tipaldi; Luigi Glielmo; Paolo Roberto Massenio; Luigi del Re (Int. J. Syst. Sci., 2024)

Deep Reinforcement Learning for Cell Balancing in Electric Vehicles With Dynamic Reconfigurable Batteries. - Silvio Baccari; Massimo Tipaldi; Valerio Mariani (IEEE Trans. Intell. Veh., 2024)

A data-driven practical stabilization approach for solving stochastic dynamic programming problems. - Massimo Tipaldi; Raffaele Iervolino; Paolo Roberto Massenio; Ali Forootani (Autom., 2025)

A switching control strategy for policy selection in stochastic Dynamic Programming problems. - Massimo Tipaldi; Raffaele Iervolino; Paolo Roberto Massenio; David Naso (Autom., 2025)

Off-Policy Temporal Difference Learning for Perturbed Markov Decision Processes: Theoretical Insights and Extensive Simulations. - Ali Forootani; Raffaele Iervolino; Massimo Tipaldi; Mohammad Khosravi (CoRR, 2025)