Simone Pirrera

Marie Sklodowska-Curie Global Postdoctoral Fellow

Department of Control and Computer Engineering (DAUIN), Politecnico di Torino

Professional Summary

Simone Pirrera works on control, optimization, and data-driven methods for dynamical systems, with applications ranging from wave energy converters to power electronics and constrained optimization.

Download CV

Education

[PhD in Control and Optimization](/publications/optimization-methods-dynamical-systems-learning/)

2021-11-01
2025-05-01

Department of Control and Computer Engineering (DAUIN), Politecnico di Torino

[Master Degree in Mechatronic Engineering](/publications/polynomial-optimization-gray-box-system-identification/)

2019-10-01
2021-07-01

Politecnico di Torino

Interests

Wave Energy Converters Model Predictive Control Data-Driven Control Constrained Optimization System Identification

Research

My research focuses on control, optimization, and learning for dynamical systems.

I coordinate SWELL, Smart Wave Energy Conversion via Learning and Low-Cost Control, a Marie Sklodowska-Curie Global Postdoctoral Fellowship project developing data-driven model predictive control for wave energy converters.

The project combines nonlinear hydrodynamic modeling, efficient MPC design, experimental validation, and open-source software to help make wave energy more competitive.

Recent Publications

Wave Energy Converters Model Predictive Control Data-Driven Control Constrained Optimization System Identification

Constrained Optimization