Mattia Boggio

Orcid: 0000-0002-0742-7141

According to our database1, Mattia Boggio authored at least 13 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
Quantum Optimization for Closed-Loop Scheduling of Earth Observation Satellite Formation.
SN Comput. Sci., December, 2025

Continuous-time nonlinear model predictive control based on Pontryagin Minimum Principle and penalty functions.
Int. J. Control, April, 2025

A Quantum Approach for Optimal Transient Control in Network-Based Epidemic Models.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2025

A quantum optimization approach to Nonlinear Model Predictive Control.
Proceedings of the 2025 European Control Conference, 2025

A General Analytical Framework for Fast Solving Nonlinear MPC Problems in the Linear Koopman Space.
Proceedings of the 2025 European Control Conference, 2025

A Quantum-Compliant Formulation for Network Epidemic Control.
Proceedings of the 64th IEEE Conference on Decision and Control, 2025

2024
Real-time Nonlinear Model Predictive Control: Efficient Methods for Domain Reduction.
PhD thesis, 2024

Quantum optimization for Nonlinear Model Predictive Control.
CoRR, 2024

Scheduling of Satellite Constellation Operations in EO Missions Using Quantum Optimization.
Proceedings of the Optimization, Learning Algorithms and Applications, 2024

2023
Trajectory planning and control for autonomous vehicles: a "fast" data-aided NMPC approach.
Eur. J. Control, November, 2023

2022
Earth Gravity In-Orbit Sensing: MPC Formation Control Based on a Novel Constellation Model.
Remote. Sens., 2022

A barrier function approach to constrained Pontryagin-based Nonlinear Model Predictive Control.
CoRR, 2022

A penalty function approach to constrained Pontryagin-based Nonlinear Model Predictive Control.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022


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