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Giorgio Riva
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2020 – today
- 2024
- [j4]Giorgio Riva
, Simone Formentin
Toward eXplainabile Data-Driven Control (XDDC): The Property-Preserving Framework. IEEE Control. Syst. Lett. 8: 478-483 (2024) - [j3]Giorgio Riva
Twin-in-the-loop state estimation for vehicle dynamics control: Theory and experiments. IFAC J. Syst. Control. 29: 100274 (2024) - [c6]Stefano Radrizzani
Time-Optimal Real-Time Energy Management Strategies for Hybrid Battery Packs in Electric Racing Cars. ECC 2024: 1863-1868 - 2023
- [i2]Giorgio Riva, Stefano Radrizzani, Giulio Panzani:
Battery model impact on time-optimal co-design for electric racing cars: review and application. CoRR abs/2312.17003 (2023) - 2022
- [j2]Giorgio Riva
Model Predictive Control of High-Performance Braking Systems: A Force-Based Approach. IEEE Control. Syst. Lett. 6: 2383-2388 (2022) - [j1]Giorgio Riva
An Optimal Battery Sizing Co-Design Approach for Electric Racing Cars. IEEE Control. Syst. Lett. 6: 3074-3079 (2022) - [c5]Giorgio Riva, Simone Formentin, Matteo Corno, Sergio M. Savaresi:
Experimental assessment of neural networks for tire-road force estimation. CCTA 2022: 658-663 - [i1]Giorgio Riva, Simone Formentin, Matteo Corno, Sergio M. Savaresi:
Simulator-in-the-loop state estimation for vehicle dynamics control: theory and experiments. CoRR abs/2204.06259 (2022) - 2021
- [b1]Giorgio Riva:
Force-feedback control system design for high performance vehicles. Polytechnic University of Milan, Italy, 2021 - [c4]Giorgio Riva
Model-reference design of fixed-order controllers for Brake-By-Wire actuators. ACC 2021: 130-135 - [c3]Giorgio Riva
Force estimation in electro-mechanical systems: theory and experiments. CCTA 2021: 992-997 - 2020
- [c2]Stefano Radrizzani
A data-driven approach for fast controller calibration of Brake-by-Wire actuators. CCTA 2020: 561-566
2010 – 2019
- 2010
- [c1]Matteo Dominoni, Stefano Pinardi
Omega Network: An adaptive approach to social learning. ISDA 2010: 953-958
Coauthor Index
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