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 …

Coordinated collective motion of Groups of autonomous mobile robots: analysis of Vicsek's
model Page 1 IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 49, NO. 6, JUNE …

Recent advances in control, coupled with an exponential growth in data gathering
capabilities, have made feasible a wide range of applications that can profoundly impact …

Set membership identification seeks to obtain models amenable to be used in a robust
control framework. While under suitable assumptions this problem is convex, existing …

Multiobjective control problems have been the object of much attention in the past few years,
since they allow for handling multiple, perhaps conflicting, performance specifications and …

In this paper the authors study a model validation problem pertaining to linear fractional
uncertainty models. They extend the previous validation approaches, based upon either …

A parametric extension to the time/frequency robust identification framework is presented.
The results can be applied to stable linear time-invariant systems on which time and/or …

This paper presents a novel algorithm for efficiently minimizing the nuclear norm of a matrix
subject to structural and semi-definite constraints. It requires performing only thresholding …

We have recently proposed a new robust identification framework, based upon generalized
interpolation theory, that allows for combining parametric and nonparametric models and …

This extended abstract discusses the role that systems theory plays in unveiling fundamental
limitations of learning algorithms and architectures when used to control a dynamical …