Giorgio Riva

According to our database, Giorgio Riva authored at least 12 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Toward eXplainabile Data-Driven Control (XDDC): The Property-Preserving Framework.

Giorgio Riva, Simone Formentin

IEEE Control. Syst. Lett., 2024

Time-Optimal Real-Time Energy Management Strategies for Hybrid Battery Packs in Electric Racing Cars.

Stefano Radrizzani, Giorgio Riva, Giulio Panzani, Matteo Corno, Sergio M. Savaresi

Proceedings of the European Control Conference, 2024

2023

Battery model impact on time-optimal co-design for electric racing cars: review and application.

Giorgio Riva, Stefano Radrizzani, Giulio Panzani

CoRR, 2023

2022

An Optimal Battery Sizing Co-Design Approach for Electric Racing Cars.

Giorgio Riva, Stefano Radrizzani, Giulio Panzani, Matteo Corno, Sergio M. Savaresi

IEEE Control. Syst. Lett., 2022

Model Predictive Control of High-Performance Braking Systems: A Force-Based Approach.

Giorgio Riva, Simone Formentin, Matteo Corno, Sergio M. Savaresi

IEEE Control. Syst. Lett., 2022

Simulator-in-the-loop state estimation for vehicle dynamics control: theory and experiments.

Giorgio Riva, Simone Formentin, Matteo Corno, Sergio M. Savaresi

CoRR, 2022

Experimental assessment of neural networks for tire-road force estimation.

Giorgio Riva, Simone Formentin, Matteo Corno, Sergio M. Savaresi

Proceedings of the IEEE Conference on Control Technology and Applications, 2022

2021

Force-feedback control system design for high performance vehicles.

Giorgio Riva

PhD thesis, 2021

Force estimation in electro-mechanical systems: theory and experiments.

Giorgio Riva, Simone Formentin, Sergio M. Savaresi

Proceedings of the IEEE Conference on Control Technology and Applications, 2021

Model-reference design of fixed-order controllers for Brake-By-Wire actuators.

Giorgio Riva, Fredy Ruiz, Simone Formentin, Sergio M. Savaresi

Proceedings of the 2021 American Control Conference, 2021

2020

A data-driven approach for fast controller calibration of Brake-by-Wire actuators.

Stefano Radrizzani, Davide Todeschini, Giorgio Riva, Simone Formentin, Giulio Panzani, Sergio M. Savaresi

Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020

2010

Omega Network: An adaptive approach to social learning.

Matteo Dominoni, Stefano Pinardi, Giorgio Riva

Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010