Saverio Bolognani

I am a Senior Scientist in Prof. Florian Dörfler's group, at the Automatic Control Laboratory of ETH Zurich.

I am passionate about applications of networked control theory to complex systems like power grids and autonomous mobility. I care about the efficiency of these systems, but also their fairness. I am currently looking into the intersection between nonlinear optimization and feedback control design, and I always like to learn more about control theory, distributed optimization, stochastic optimization, and game theory.

I teach the courses "Game Theory and Control" and "Computational Control".

CV - Publications - Research projects - Teaching - Misc

5 December 2022 - CDC Workshop on "Skills and Perspectives for Early Career Development"

For those of you that want to start their career in research and care about making their group diverse, respectful, and more attractive to the brightest minds. It's an exciting program with lot of great contributions, thanks to the organization work by Silvia Mastellone, Roy Smith, Dennice Gayme, Hideaki Ishii, Afef Fekih, and myself.

Visit https://sites.google.com/control.ee.ethz.ch/ieeecdc2022-workshop-di for more information.

18 July 2022 - IFAC Workshop on Control Applications of Optimization

Tutorial "UNICORN - A Unified Control Framework for Real-Time Power System Operation"

Visit unicorn.control.ee.ethz.ch for slides, open access publications, videos, code.

20-23 June 2022 - EECI International Graduate School on Control

Module M19 "Control and Optimization of Autonomous Power Systems"

Lecturers: Florian Dörfler and Saverio Bolognani

The graduate school on Control and Optimization of Autonomous Power Systems just came to an end. It was an exciting full week of lessons at KTH Stockholm, made possible by the generous hospitality of our host Henrik Sandberg and by a great audience of motivated students.

The course website contains most of the material that we covered and will stay online for the time being.

9 May 2022 - NCCR Automation Symposium on Systems Theory of Algorithms

Iterative algorithms in optimization, games, and learning are dynamical systems with inputs, outputs, and uncertainty. The symposium explores the systems and control theory behind such algorithms shaping our reality.

My talk: "First-Order and Zeroth-Order Optimization Algorithms as Model-Free Feedback Controllers"

NCCR Symposium website - slides