19 citations · 27 across the 16 of their papers we have counts for
4 papers · 1 filter
Distributionally Robust Infinite-horizon Control: from a pool of samples to the design of dependable controllers
Jean-Sébastien Brouillon, Andrea Martin, John Lygeros +2
We study control of constrained linear systems with only partial statistical information about the uncertainty affecting the system dynamics and the sensor measurements. Specifical…
Closing the Gap to Quadratic Invariance: a Regret Minimization Approach to Optimal Distributed Control
Daniele Martinelli, Andrea Martin, Giancarlo Ferrari-Trecate +1
In this work, we focus on the design of optimal controllers that must comply with an information structure. State-of-the-art approaches do so based on the H2 or Hinfty norm to mini…
On the Guarantees of Minimizing Regret in Receding Horizon
Andrea Martin, Luca Furieri, Florian Dörfler +2
Towards bridging classical optimal control and online learning, regret minimization has recently been proposed as a control design criterion. This competitive paradigm penalizes th…
Regret Optimal Control for Uncertain Stochastic Systems
Andrea Martin, Luca Furieri, Florian Dörfler +2
We consider control of uncertain linear time-varying stochastic systems from the perspective of regret minimization. Specifically, we focus on the problem of designing a feedback c…