activity
20122025
most citedData-Driven Control of Complex Networks

169 citations · 451 across the 14 of their papers we have counts for

collaborators

19 papers

eess.SY2025

How Complex is a Complex Network? Insights from Linear Systems Theory

Giacomo Baggio, Marco Fabris

This paper leverages linear systems theory to propose a principled measure of complexity for network systems. We focus on a network of first-order scalar linear systems interconnec…

eess.SY2023

Data-driven Eigenstructure Assignment for Sparse Feedback Design

Federico Celi, Giacomo Baggio, Fabio Pasqualetti

This paper presents a novel approach for solving the pole placement and eigenstructure assignment problems through data-driven methods. By using open-loop data alone, the paper sho…

quant-ph2021★ 6 cited

Dissipative Encoding of Quantum Information

Giacomo Baggio, Francesco Ticozzi, Peter D. Johnson +1

We formalize the problem of dissipative quantum encoding, and explore the advantages of using Markovian evolution to prepare a quantum code in the desired logical space, with empha…

nlin.AO2021★ 32 cited

Functional Control of Oscillator Networks

Tommaso Menara, Giacomo Baggio, Danielle S. Bassett +1

Oscillatory activity is ubiquitous in natural and engineered network systems. The interaction scheme underlying interdependent oscillatory components governs the emergence of netwo…

math.OC2020

Learning Minimum-Energy Controls from Heterogeneous Data

Giacomo Baggio, Fabio Pasqualetti

In this paper we study the problem of learning minimum-energy controls for linear systems from heterogeneous data. Specifically, we consider datasets comprising input, initial and…

eess.SY2020★ 169 cited

Data-Driven Control of Complex Networks

Giacomo Baggio, Danielle S. Bassett, Fabio Pasqualetti

Our ability to manipulate the behavior of complex networks depends on the design of efficient control algorithms and, critically, on the availability of an accurate and tractable m…

eess.SY2019★ 20 cited

A Framework to Control Functional Connectivity in the Human Brain

Tommaso Menara, Giacomo Baggio, Danielle S. Bassett +1

In this paper, we propose a framework to control brain-wide functional connectivity by selectively acting on the brain's structure and parameters. Functional connectivity, which me…

physics.soc-ph2019

Efficient Communication over Complex Dynamical Networks: The Role of Matrix Non-Normality

Giacomo Baggio, Virginia Rutten, Guillaume Hennequin +1

In both natural and engineered systems, communication often occurs dynamically over networks ranging from highly structured grids to largely disordered graphs. To use, or comprehen…

math.OC2019

Data-Driven Minimum-Energy Controls for Linear Systems

Giacomo Baggio, Vaibhav Katewa, Fabio Pasqualetti

In this paper we study the problem of computing minimum-energy controls for linear systems from experimental data. The design of open-loop minimum-energy control inputs to steer a…

math.OC2018★ 88 cited

Stability Conditions for Cluster Synchronization in Networks of Heterogeneous Kuramoto Oscillators

Tommaso Menara, Giacomo Baggio, Danielle S. Bassett +1

In this paper we study cluster synchronization in networks of oscillators with heterogenous Kuramoto dynamics, where multiple groups of oscillators with identical phases coexist in…

math.ST2017★ 20 cited

On the existence of a solution to a spectral estimation problem \emph{à la} Byrnes-Georgiou-Lindquist

Bin Zhu, Giacomo Baggio

A parametric spectral estimation problem in the style of Byrnes, Georgiou, and Lindquist was posed in \cite{FPZ-10}, but the existence of a solution was only proved in a special ca…

math.OC2017

Conal Distances Between Rational Spectral Densities

Giacomo Baggio, Augusto Ferrante, Rodolphe Sepulchre

The paper generalizes Thompson and Hilbert metric to the space of spectral densities. The resulting complete metric space has the differentiable structure of a Finsler manifold wit…

eess.SY2017

LTI Stochastic Processes: a Behavioral Perspective

Giacomo Baggio, Rodolphe Sepulchre

This paper revisits the definition of linear time-invariant (LTI) stochastic process within a behavioral systems framework. Building on [Willems, 2013], we derive a canonical repre…

math.OC2016

Further Results on the Convergence of the Pavon-Ferrante Algorithm for Spectral Estimation

Giacomo Baggio

In this paper, we provide a detailed analysis of the global convergence properties of an extensively studied and extremely effective fixed-point algorithm for the Kullback-Leibler…

math.OC2016

Parametrization of Minimal Spectral Factors of Discrete-Time Rational Spectral Densities

Giacomo Baggio, Augusto Ferrante

In this paper, the problem of providing a complete parametrization of the minimal spectral factors of a discrete-time rational spectral density is considered. The desired parametri…

math.OC2015★ 67 cited

On the Role of Network Centrality in the Controllability of Complex Networks

Nicoletta Bof, Giacomo Baggio, Sandro Zampieri

In recent years complex networks have gained increasing attention in different fields of science and engineering. The problem of controlling these networks is an interesting and ch…

math.OC2015★ 12 cited

On Minimal Spectral Factors with Zeroes and Poles lying on Prescribed Region

Giacomo Baggio, Augusto Ferrante

In this paper, we consider a general discrete-time spectral factorization problem for rational matrix-valued functions. We build on a recent result establishing existence of a spec…

math.OC2014★ 22 cited

On the Factorization of Rational Discrete-Time Spectral Densities

Giacomo Baggio, Augusto Ferrante

In this paper, we consider an arbitrary matrix-valued, rational spectral density . We show with a constructive proof that admits a factorization of the form $Φ(z)=W^\t…

quant-ph2012★ 15 cited

Quantum State Preparation by Controlled Dissipation in Finite Time: From Classical to Quantum Controllers

Giacomo Baggio, Francesco Ticozzi, Lorenza Viola

We propose a general scheme for dissipatively preparing arbitrary pure quantum states on a multipartite qubit register in a finite number of basic control blocks. Our "splitting-su…