Andrea Martinelli

Academic bio

I am a PhD student with the Automatic Control Laboratory (IfA) at ETH Zurich, Switzerland, supervised by Prof. J. Lygeros.

I obtained the BSc degree in Management Engineering in 2015 and the MSc degree in Control Engineering in 2017, both from Politecnico di Milano, Italy. In 2017, I was a visiting student at the Laboratoire d'Automatique (LA) of EPF Lausanne, Switzerland, where I developed my MSc thesis under the guidance of Prof. G. Ferrari-Trecate. In 2018, I worked as research assistant with Prof. R. Scattolini at the Systems & Control group at DEIB, Politecnico di Milano, Italy.

Research interests

I am interested in investigating theoretical and practical aspects of control theory, including:

• Optimal control, reinforcement learning and approximate dynamic programming

• Networked dynamical systems with a focus on renewable energy distribution models.

News 2022

• Sep: We will present our work on data-driven control of affine systems at the CDC 2022 in Cancun, Mexico

• Sep: Start of the fall semester at ETH: I am head TA of Linear System Theory

• Jul: Our paper on plug-and-play distributed MPC has been accepted for presentation at the 2022 Conference on Decision and Control (CDC)

• Jul: We are hosting the IFAC Conference on Networked Systems (NecSys) here at IfA/ETH Zurich

• June: Our work on data-driven control of affine systems is now published in IEEE Control Systems Letters

• May: Our paper was accepted for publication at the International Conference on Machine Learning (ICML)

• Mar: Check out our new preprint on data-driven control of affine systems

• Feb: Spring semester starts: I am a TA in the Advanced topics in control course. Check out the teaser video by Prof. Dorfler

• Jan: We released a new preprint on probabilistic variance-reduced policy gradient methods