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2020 – today
- 2024
[j4]Enrico Spateri
, Lorenzo Sabug, Fredy Ruiz, Giambattista Gruosso:
Efficient Multiobjective Optimization Framework for Induction Heating Systems Design. IEEE Access 12: 95347-95355 (2024)- [j3]Lorenzo Sabug, Lorenzo Fagiano, Fredy Ruiz:
Sample-Based Trust Region Dynamics in Contextual Global Optimization. IEEE Control. Syst. Lett. 8: 1619-1624 (2024) - [c5]Mattia Alborghetti, Giulio Montecchio, Lorenzo Sabug, Lorenzo Fagiano, Fredy Ruiz:
Controlling the Exploitation/Exploration Trade-Off in Global Optimization: A Set Membership Approach. ACC 2024: 2918-2923 - 2023
- [b1]Lorenzo Sabug:
On data-driven optimization in the design and control of autonomous systems. Polytechnic University of Milan, Italy, 2023 - 2022
- [j2]Lorenzo Sabug, Fredy Ruiz, Lorenzo Fagiano:
SMGO-Δ: Balancing caution and reward in global optimization with black-box constraints. Inf. Sci. 605: 15-42 (2022) - [c4]Raffaele Galbiati, Lorenzo Sabug, Fredy Ruiz, Lorenzo Fagiano:
Direct control design using a Set Membership-based black-box optimization approach. CCTA 2022: 1259-1264 - 2021
- [j1]Lorenzo Sabug, Fredy Ruiz, Lorenzo Fagiano:
SMGO: A set membership approach to data-driven global optimization. Autom. 133: 109890 (2021) - [c3]Lorenzo Sabug, Fredy Ruiz, Lorenzo Fagiano:
Trading-off safety, exploration, and exploitation in learning-based optimization: a Set Membership approach. CDC 2021: 1462-1467 - 2020
- [c2]Lorenzo Sabug, Fredy Ruiz, Lorenzo Fagiano:
On the use of Set Membership theory for global optimization of black-box functions. CDC 2020: 3586-3591
2010 – 2019
- 2017
- [c1]Aysar Musa, Syed Muhammed Rehan, Lorenzo Sabug, Ferdinanda Ponci, Antonello Monti:
Modeling and design of hybrid distribution network: Operational and technical features. ISGT Europe 2017: 1-6
Coauthor Index
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