activity
20192022
collaborators

5 papers

eess.SY2022

Follow the Clairvoyant: an Imitation Learning Approach to Optimal Control

Andrea Martin, Luca Furieri, Florian Dörfler +2

We consider control of dynamical systems through the lens of competitive analysis. Most prior work in this area focuses on minimizing regret, that is, the loss relative to an ideal…

eess.SY2021

A Behavioral Input-Output Parametrization of Control Policies with Suboptimality Guarantees

Luca Furieri, Baiwei Guo, Andrea Martin +1

Recent work in data-driven control has revived behavioral theory to perform a variety of complex control tasks, by directly plugging libraries of past input-output trajectories int…

math.OC2020

Sample Complexity of Linear Quadratic Gaussian (LQG) Control for Output Feedback Systems

Yang Zheng, Luca Furieri, Maryam Kamgarpour +1

This paper studies a class of partially observed Linear Quadratic Gaussian (LQG) problems with unknown dynamics. We establish an end-to-end sample complexity bound on learning a ro…

math.OC2019

On the Equivalence of Youla, System-level and Input-output Parameterizations

Yang Zheng, Luca Furieri, Antonis Papachristodoulou +2

A convex parameterization of internally stabilizing controllers is fundamental for many controller synthesis procedures. The celebrated Youla parameterization relies on a doubly-co…

eess.SY2019

Sparsity Invariance for Convex Design of Distributed Controllers

Luca Furieri, Yang Zheng, Antonis Papachristodoulou +1

We address the problem of designing optimal linear time-invariant (LTI) sparse controllers for LTI systems, which corresponds to minimizing a norm of the closed-loop system subject…