Mathias Hudoba de Badyn

About me

I am a postdoctoral scholar in the Automatic Control Lab at ETH Zürich working with John Lygeros and Roy Smith. Before coming here, I did my PhD in Aeronautics and Astronautics at the University of Washington with Mehran Mesbahi.

I work on problems involving the control and estimation of networked dynamical systems. Such systems appear everywhere in both nature and engineering, for example in swarms of robotic vehicles, social networks, gene networks, animal flocking and spacecraft formation flight. My focus is on networked systems that have an intrinsic state-dependent graph structure, meaning that the dynamical process on the network changes the communication links between agents in the network. Such processes are highly nonlinear and are difficult to analyze with standard techniques. Pretty much all real-world networked systems are state-dependent. The goal of my research is to find methods of analysis that allow one to formulate controllers and estimators for such state-dependent networked systems.

In my previous life as an undergraduate student at the University of British Columbia, I worked at the Canadian Institute for Theoretical Astrophysics under the supervision of James Owen. We studied how X-ray heating contributes to the dispersal of protoplanetary discs. I also had the good fortune to work with Richard Marchand and Richard Sydora at the University of Alberta, where we worked on how to use electrodynamics space tethers for removing radiation belts around the Earth. In my final year, I did two Honours theses. I worked with Greg Martin on the Hilbert-Pólya and pair-correlation conjectures, and with Joanna Karczmarek’s string theory group studying the geometry of membranes emerging from the Berenstein-Dzienkowski Hamiltonian.

News and Updates

  • Feb. 1, 2022: Our paper on feedback optimization for robotic swarm coordination was accepted to the American Control Conference. Check out the preprint here!
  • Jan. 14, 2022: I'm offering a master's thesis project on game theory for smart homes. Check out the posting here!
  • Jan. 5, 2022: I'm offering a master's thesis on optimization strategies for trading stock options and other financial derivatives. Check out the posting here!
  • Jan. 4, 2022: Our paper on machine learning methods for smart buildings was accepted to Applied Energy. Check out the preprint here!
  • Dec. 20, 2021: Our paper on distributed model predictive control for networks of smart buildings and energy hubs was accepted to Energy & Buildings. Check out the preprint here!
  • Sept. 31, 2021: Check out our preprint on feedback optimization applied to distributed formation control of robots here!
  • Sept. 9, 2021: Our work on optimal transport methods for discrete time systems, and our work on feedback optimization for sampled-data systems with applications to smart buildings, was accepted to the 2021 CDC. Check out the preprints here and here!
  • Jun. 22, 2021: My paper on multiagent ergodic exploration for robotic systems with Dimitris Gkouletsos, Andrea Iannelli and John Lygeros was accepted to the Robotics and Automation Letters. Check out the paper here and the preprint here!
  • Jun. 8, 2021: My paper "H-infinity network optimization for edge consensus" with Omar Farhat and Dany Jaoude was accepted to the European Journal of Control. Check out the paper here, and the preprint here!
  • Mar. 5, 2021: Our work on input-convex neural networks for model predictive control of smart buildings was accepted to the Learning for Dynamics and Control conference. Check out the preprint here!

Recent Publications

Below are some recent publications; see here for a full list.