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Dive into the research topics where Giacomo Baggio is active.

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Featured researches published by Giacomo Baggio.


IEEE Transactions on Automatic Control | 2016

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 Φ(z). We show with a constructive proof that Φ(z) admits a factorization of the form Φ(z)=WT(z-1) W(z), where W(z) is stochastically minimal. Moreover, W(z) and its right inverse are analytic in regions that may be selected with the only constraint that they satisfy some symplectic-type conditions. By suitably selecting the analyticity regions, this extremely general result particularizes into a corollary that may be viewed as the discrete-time counterpart of the matrix factorization method devised by Youla in his celebrated work [48].


IEEE Transactions on Control of Network Systems | 2017

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 challenging problem to investigate. In this paper, we look at the controllability problem focusing on the energy needed for the control. Precisely not only do we want to analyze whether a network can be controlled, but we also want to establish whether the control can be performed using a limited amount of energy. We restrict our study to irreducible and (marginally) stable networks and we find that the leading right and left eigenvectors of the network matrix play a crucial role in this analysis. Interestingly, our results suggest the existence of a connection between controllability and network centrality, a well-known concept in network science. In case the network is reversible, the latter connection involves the PageRank, an extensively studied type of centrality measure. Finally, the proposed results are applied to examples concerning random graphs.


IEEE Transactions on Automatic Control | 2016

On Minimal Spectral Factors With Zeroes and Poles Lying on Prescribed Regions

Giacomo Baggio; Augusto Ferrante

In this note, we consider a general discrete-time spectral factorization problem for rational matrix-valued functions. We build on a recent result establishing existence of a spectral factor whose zeroes and poles lie in any pair of prescribed regions of the complex plane featuring a geometry compatible with symplectic symmetry. In this general setting, uniqueness of the spectral factor is not guaranteed. It was, however, conjectured that if we further impose stochastic minimality, uniqueness can be recovered. The main result of his note is a proof of this conjecture.


conference on decision and control | 2012

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-subspace” approach relies on control resources that are available in a number of scalable quantum technologies (complete unitary control on the target system, an ancillary resettable qubit and controlled-not gates between the target and the ancilla), and can be seen as a “quantum-controller” implementation of a sequence of classical feedback loops. We show how a large degree of flexibility exists in engineering the required conditional operations, and make explicit contact with a stabilization protocol used for dissipative quantum state preparation and entanglement generation in recent experiments with trapped ions.


IEEE Transactions on Automatic Control | 2018

On the Existence of a Solution to a Spectral Estimation Problem a la Byrnes-Georgiou-Lindquist

Bin Zhu; Giacomo Baggio


IEEE Transactions on Automatic Control | 2018

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

Giacomo Baggio


Archive | 2017

Finslerian Metrics in the Cone of Spectral Densities

Giacomo Baggio; Augusto Ferrante; Rodolphe Sepulchre


IEEE Transactions on Automatic Control | 2018

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

Giacomo Baggio; Augusto Ferrante


IEEE Transactions on Automatic Control | 2018

Conal Distances Between Rational Spectral Densities

Giacomo Baggio; Augusto Ferrante; Rodolphe Sepulchre


IFAC-PapersOnLine | 2017

On the Convergence of a Matricial Fixed-Point Iteration Connected with Spectral Estimation

Giacomo Baggio

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