publications

2025

1. Obtaining Structural Network Controllability with Higher-Order Local Dynamics

   Marco Peruzzo, Giacomo Baggio, and Francesco Ticozzi

   Submitted, 2025

   arXiv Bib

   @article{peruzzo2025structural,
     title = {Obtaining Structural Network Controllability with Higher-Order Local Dynamics},
     author = {Peruzzo, Marco and Baggio, Giacomo and Ticozzi, Francesco},
     journal = {Submitted},
     year = {2025},
   }

2. 

   Firing Rate Models as Associative Memory: Synaptic Design for Robust Retrieval

   Simone Betteti, Giacomo Baggio, Francesco Bullo, and Sandro Zampieri

   Neural Computation, 2025

   arXiv Bib

   @article{betteti2025firing,
     title = {Firing Rate Models as Associative Memory: Synaptic Design for Robust Retrieval},
     author = {Betteti, Simone and Baggio, Giacomo and Bullo, Francesco and Zampieri, Sandro},
     journal = {Neural Computation},
     year = {2025},
   }

3. How Complex is a Complex Network? Insights From Linear Systems Theory

   Giacomo Baggio, and Marco Fabris

   IEEE Control Systems Letters, 2025

   DOI Bib

   @article{baggio2025complex,
     title = {How Complex is a Complex Network? Insights From Linear Systems Theory},
     author = {Baggio, Giacomo and Fabris, Marco},
     journal = {IEEE Control Systems Letters},
     volume = {9},
     pages = {1195-1200},
     year = {2025},
     doi = {10.1109/LCSYS.2025.3582197},
   }

4. 

   Input-Driven Dynamics for Robust Memory Retrieval in Hopfield Networks

   Simone Betteti, Giacomo Baggio, Francesco Bullo, and Sandro Zampieri

   Science Advances, 2025

   DOI Press Bib

   @article{betteti2025input,
     title = {Input-Driven Dynamics for Robust Memory Retrieval in {H}opfield Networks},
     author = {Betteti, Simone and Baggio, Giacomo and Bullo, Francesco and Zampieri, Sandro},
     journal = {Science Advances},
     volume = {11},
     number = {17},
     pages = {eadu6991},
     year = {2025},
     press = {https://news.ucsb.edu/2025/021867/energy-and-memory-new-neural-network-paradigm},
     doi = {10.1126/sciadv.adu6991},
   }

5. Finding Conditions for Target Controllability under Christmas Trees

   Marco Peruzzo, Giacomo Baggio, and Francesco Ticozzi

   In IEEE Conference on Decision and Control (CDC), 2025

   arXiv Bib

   @inproceedings{peruzzo2025target,
     title = {Finding Conditions for Target Controllability under Christmas Trees},
     author = {Peruzzo, Marco and Baggio, Giacomo and Ticozzi, Francesco},
     booktitle = {IEEE Conference on Decision and Control (CDC)},
     year = {2025},
   }

6. Controllable Neural Architectures for Multi-Task Control

   Umberto Casti, Giacomo Baggio, Sandro Zampieri, and Fabio Pasqualetti

   In European Control Conference (ECC), 2025

   arXiv Bib

   @inproceedings{casti2025multi,
     title = {Controllable Neural Architectures for Multi-Task Control},
     author = {Casti, Umberto and Baggio, Giacomo and Zampieri, Sandro and Pasqualetti, Fabio},
     booktitle = {European Control Conference (ECC)},
     year = {2025},
   }

2024

1. The Bayesian Separation Principle for Data-driven Control

   Riccardo A. Grimaldi, Giacomo Baggio, Ruggero Carli, and Gianluigi Pillonetto

   Submitted, 2024

   arXiv Bib

   @article{grimaldi2024bayesian,
     title = {The Bayesian Separation Principle for Data-driven Control},
     author = {Grimaldi, Riccardo A. and Baggio, Giacomo and Carli, Ruggero and Pillonetto, Gianluigi},
     journal = {Submitted},
     year = {2024},
   }

2. 

   Analyzing Asymmetry in Brain Hierarchies with a Linear State-Space Model of Resting-State fMRI Data

   Danilo Benozzo, Giacomo Baggio, Giorgia Baron, Alessandro Chiuso, and 2 more authors

   Network Neuroscience, 2024

   DOI Bib

   @article{Benozzo2024asymmetry,
     title = {Analyzing Asymmetry in Brain Hierarchies with a Linear State-Space Model of Resting-State f{MRI} Data},
     author = {Benozzo, Danilo and Baggio, Giacomo and Baron, Giorgia and Chiuso, Alessandro and Zampieri, Sandro and Bertoldo, Alessandra},
     journal = {Network Neuroscience},
     volume = {8},
     number = {3},
     pages = {1-42},
     year = {2024},
     doi = {10.1162/netn_a_00381},
   }

3. 

   Controllability of Large-Scale Networks: The Control Energy Exponents

   Giacomo Baggio, and Sandro Zampieri

   IEEE Transactions on Control of Network Systems, 2024

   Awarded DOI Bib

   IEEE CSS-Italy Best Young Author Paper Award 2024, Finalist

   @article{baggio2024controllability,
     title = {Controllability of Large-Scale Networks: The Control Energy Exponents},
     author = {Baggio, Giacomo and Zampieri, Sandro},
     journal = {IEEE Transactions on Control of Network Systems},
     volume = {11},
     number = {2},
     pages = {808-820},
     year = {2024},
     doi = {10.1109/TCNS.2023.3312251},
   }

4. On the Capacity of Continuous-time Hopfield Models

   Simone Betteti, Giacomo Baggio, and Sandro Zampieri

   In IEEE Conference on Decision and Control (CDC), 2024

   DOI Bib

   @inproceedings{betteti2024capacity,
     title = {On the Capacity of Continuous-time Hopfield Models},
     author = {Betteti, Simone and Baggio, Giacomo and Zampieri, Sandro},
     booktitle = {IEEE Conference on Decision and Control (CDC)},
     pages = {7853-7858},
     year = {2024},
     doi = {10.1109/CDC56724.2024.10886497},
   }

5. Exploring the Impact of Memory on Network Controllability

   Marco Peruzzo, Giacomo Baggio, and Francesco Ticozzi

   In European Control Conference (ECC), 2024

   DOI Bib

   @inproceedings{peruzzo2024memory,
     title = {Exploring the Impact of Memory on Network Controllability},
     author = {Peruzzo, Marco and Baggio, Giacomo and Ticozzi, Francesco},
     booktitle = {European Control Conference (ECC)},
     pages = {3404-3409},
     year = {2024},
     doi = {10.23919/ECC64448.2024.10590775},
   }

2023

1. 

   Closed-form and Robust Expressions for Data-driven LQ Control

   Federico Celi, Giacomo Baggio, and Fabio Pasqualetti

   Annual Reviews in Control, 2023

   DOI Bib

   @article{celi2023closed,
     title = {Closed-form and Robust Expressions for Data-driven LQ Control},
     author = {Celi, Federico and Baggio, Giacomo and Pasqualetti, Fabio},
     journal = {Annual Reviews in Control},
     volume = {56},
     pages = {100916},
     year = {2023},
     doi = {10.1016/j.arcontrol.2023.100916},
   }

2. 

   Distributed Data-Driven Control of Network Systems

   Federico Celi, Giacomo Baggio, and Fabio Pasqualetti

   IEEE Open Journal of Control Systems, 2023

   DOI Bib

   @article{celi2023distributed,
     title = {Distributed Data-Driven Control of Network Systems},
     author = {Celi, Federico and Baggio, Giacomo and Pasqualetti, Fabio},
     journal = {IEEE Open Journal of Control Systems},
     volume = {2},
     pages = {93-107},
     year = {2023},
     doi = {10.1109/OJCSYS.2023.3259228},
   }

3. Dynamic Brain Networks with Prescribed Functional Connectivity

   Umberto Casti, Giacomo Baggio, Danilo Benozzo, Sandro Zampieri, and 2 more authors

   In IEEE Conference on Decision and Control (CDC), 2023

   DOI Bib

   @inproceedings{casti2023functional,
     title = {Dynamic Brain Networks with Prescribed Functional Connectivity},
     author = {Casti, Umberto and Baggio, Giacomo and Benozzo, Danilo and Zampieri, Sandro and Bertoldo, Alessandra and Chiuso, Alessandro},
     booktitle = {IEEE Conference on Decision and Control (CDC)},
     pages = {709-714},
     year = {2023},
     doi = {10.1109/CDC49753.2023.10383872},
   }

4. Data-Driven Eigenstructure Assignment for Sparse Feedback Design

   Federico Celi, Giacomo Baggio, and Fabio Pasqualetti

   In IEEE Conference on Decision and Control (CDC), 2023

   DOI Bib

   @inproceedings{celi2023sparse,
     title = {Data-Driven Eigenstructure Assignment for Sparse Feedback Design},
     author = {Celi, Federico and Baggio, Giacomo and Pasqualetti, Fabio},
     booktitle = {IEEE Conference on Decision and Control (CDC)},
     pages = {618-623},
     year = {2023},
     doi = {10.1109/CDC49753.2023.10383893},
   }

5. Single Region Contribution to the Brain Dynamic (In)stability

   Danilo Benozzo, Giorgia Baron, Giacomo Baggio, Alessandro Gozzi, and 4 more authors

   In Proceedings of the Eighth National Congress of Bioengineering (GNB2023), 2023

   Bib

   @inproceedings{benozzo2023single,
     title = {Single Region Contribution to the Brain Dynamic (In)stability},
     author = {Benozzo, Danilo and Baron, Giorgia and Baggio, Giacomo and Gozzi, Alessandro and Corbetta, Maurizio and Chiuso, Alessandro and Zampieri, Sandro and Bertoldo, Alessandra},
     booktitle = {Proceedings of the Eighth National Congress of Bioengineering (GNB2023)},
     year = {2023},
   }

2022

1. Bayesian Frequentist Bounds for Machine Learning and System Identification

   Giacomo Baggio, Algo Carè, Anna Scampicchio, and Gianluigi Pillonetto

   Automatica, 2022

   DOI Bib

   @article{baggio2022bayesian,
     title = {Bayesian Frequentist Bounds for Machine Learning and System Identification},
     author = {Baggio, Giacomo and Carè, Algo and Scampicchio, Anna and Pillonetto, Gianluigi},
     journal = {Automatica},
     volume = {146},
     pages = {110599},
     year = {2022},
     doi = {10.1016/j.automatica.2022.110599},
   }

2. 

   Functional Control of Oscillator Networks

   Tommaso Menara, Giacomo Baggio, Dani Bassett, and Fabio Pasqualetti

   Nature Communications, 2022

   DOI Bib

   @article{menara2022functional,
     title = {Functional Control of Oscillator Networks},
     author = {Menara, Tommaso and Baggio, Giacomo and Bassett, Dani and Pasqualetti, Fabio},
     journal = {Nature Communications},
     volume = {13},
     number = {1},
     pages = {1-13},
     year = {2022},
     doi = {10.1038/s41467-022-31733-2},
   }

3. 

   Energy-Aware Controllability of Complex Networks

   Giacomo Baggio, Fabio Pasqualetti, and Sandro Zampieri

   Annual Review of Control, Robotics, and Autonomous Systems, 2022

   DOI Bib

   @article{baggio2022energy,
     title = {Energy-Aware Controllability of Complex Networks},
     author = {Baggio, Giacomo and Pasqualetti, Fabio and Zampieri, Sandro},
     journal = {Annual Review of Control, Robotics, and Autonomous Systems},
     volume = {5},
     number = {1},
     year = {2022},
     doi = {10.1146/annurev-control-042920-014957},
   }

4. Closed-Form Estimates of the LQR Gain from Finite Data

   Federico Celi, Giacomo Baggio, and Fabio Pasqualetti

   In IEEE Conference on Decision and Control (CDC), 2022

   DOI Bib

   @inproceedings{celi2022closed,
     title = {Closed-Form Estimates of the LQR Gain from Finite Data},
     author = {Celi, Federico and Baggio, Giacomo and Pasqualetti, Fabio},
     booktitle = {IEEE Conference on Decision and Control (CDC)},
     pages = {4016-4021},
     year = {2022},
     doi = {10.1109/CDC51059.2022.9992708},
   }

5. Reachable Volume of Large-Scale Linear Network Systems: The Single-Input Case

   Giacomo Baggio, and Sandro Zampieri

   In IEEE Conference on Decision and Control (CDC), 2022

   DOI Bib

   @inproceedings{baggio2022volume,
     title = {Reachable Volume of Large-Scale Linear Network Systems: The Single-Input Case},
     author = {Baggio, Giacomo and Zampieri, Sandro},
     booktitle = {IEEE Conference on Decision and Control (CDC)},
     pages = {4224-4229},
     year = {2022},
     doi = {10.1109/CDC51059.2022.9993224},
   }

6. Finite-Sample Guarantees for State-Space System Identification Under Full State Measurements

   Giacomo Baggio, Algo Carè, and Gianluigi Pillonetto

   In IEEE Conference on Decision and Control (CDC), 2022

   DOI Bib

   @inproceedings{baggio2022guarantees,
     title = {Finite-Sample Guarantees for State-Space System Identification Under Full State Measurements},
     author = {Baggio, Giacomo and Carè, Algo and Pillonetto, Gianluigi},
     booktitle = {IEEE Conference on Decision and Control (CDC)},
     pages = {2789-2794},
     year = {2022},
     doi = {10.1109/CDC51059.2022.9993323},
   }

7. Worst-Case Control Energy of Single-Input Network Systems

   Giacomo Baggio, and Sandro Zampieri

   IFAC-PapersOnLine, 2022

   NecSys 2022

   DOI Bib

   @article{baggio2022worst,
     title = {Worst-Case Control Energy of Single-Input Network Systems},
     author = {Baggio, Giacomo and Zampieri, Sandro},
     journal = {IFAC-PapersOnLine},
     volume = {55},
     number = {13},
     pages = {55-60},
     year = {2022},
     note = {NecSys 2022},
     doi = {10.1016/j.ifacol.2022.07.235},
   }

2021

1. 

   Non-normality Improves Information Transmission Performance of Network Systems

   Giacomo Baggio, and Sandro Zampieri

   IEEE Transactions on Control of Network Systems, 2021

   Awarded DOI Bib Supp

   IEEE CSS-Italy Best Young Author Paper Award 2023, Finalist

   @article{baggio2021nonnormality,
     title = {Non-normality Improves Information Transmission Performance of Network Systems},
     author = {Baggio, Giacomo and Zampieri, Sandro},
     journal = {IEEE Transactions on Control of Network Systems},
     volume = {8},
     number = {4},
     pages = {1846-1858},
     year = {2021},
     doi = {10.1109/TCNS.2021.3088795},
   }

2. Dissipative Encoding of Quantum Information

   Giacomo Baggio, Francesco Ticozzi, Peter D Johnson, and Lorenza Viola

   Quantum Information & Computation, 2021

   DOI Bib

   @article{baggio2021dissipative,
     title = {Dissipative Encoding of Quantum Information},
     author = {Baggio, Giacomo and Ticozzi, Francesco and Johnson, Peter D and Viola, Lorenza},
     journal = {Quantum Information & Computation},
     volume = {21},
     number = {9&10},
     pages = {737-770},
     year = {2021},
     doi = {10.26421/QIC21.9-10-2},
   }

3. 

   Data-driven Control of Complex Networks

   Giacomo Baggio, Dani Bassett, and Fabio Pasqualetti

   Nature Communications, 2021

   DOI Bib Code

   @article{baggio2021data,
     title = {Data-driven Control of Complex Networks},
     author = {Baggio, Giacomo and Bassett, Dani and Pasqualetti, Fabio},
     journal = {Nature Communications},
     volume = {12},
     number = {1},
     pages = {1-13},
     year = {2021},
     doi = {10.1038/s41467-021-21554-0},
   }

4. Distributed Learning of Optimal Controls for Linear Systems

   Federico Celi, Giacomo Baggio, and Fabio Pasqualetti

   In IEEE Conference on Decision and Control (CDC), 2021

   DOI Bib

   @inproceedings{celi2021distributed,
     title = {Distributed Learning of Optimal Controls for Linear Systems},
     author = {Celi, Federico and Baggio, Giacomo and Pasqualetti, Fabio},
     booktitle = {IEEE Conference on Decision and Control (CDC)},
     pages = {5764-5769},
     year = {2021},
     doi = {10.1109/CDC45484.2021.9683707},
   }

2020

1. 

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

   Giacomo Baggio, Virginia Rutten, Guillaume Hennequin, and Sandro Zampieri

   Science Advances, 2020

   DOI Bib Code

   @article{baggio2020communication,
     title = {Efficient Communication over Complex Dynamical Networks: The Role of Matrix Non-Normality},
     author = {Baggio, Giacomo and Rutten, Virginia and Hennequin, Guillaume and Zampieri, Sandro},
     journal = {Science Advances},
     volume = {6},
     number = {22},
     pages = {eaba2282},
     year = {2020},
     doi = {10.1126/sciadv.aba2282},
   }

2. Conditions for Feedback Linearization of Network Systems

   Tommaso Menara, Giacomo Baggio, Dani Bassett, and Fabio Pasqualetti

   IEEE Control Systems Letters, 2020

   DOI Bib

   @article{menara2020feedback,
     title = {Conditions for Feedback Linearization of Network Systems},
     author = {Menara, Tommaso and Baggio, Giacomo and Bassett, Dani and Pasqualetti, Fabio},
     journal = {IEEE Control Systems Letters},
     volume = {4},
     number = {3},
     pages = {578-583},
     year = {2020},
     doi = {10.1109/LCSYS.2020.2981339},
   }

3. 

   Stability Conditions for Cluster Synchronization in Networks of Heterogeneous Kuramoto Oscillators

   Tommaso Menara, Giacomo Baggio, Dani Bassett, and Fabio Pasqualetti

   IEEE Transactions on Control of Network Systems, 2020

   Awarded DOI Bib

   IEEE CSS-Italy Best Young Author Paper Award 2021, Finalist

   @article{menara2020stability,
     title = {Stability Conditions for Cluster Synchronization in Networks of Heterogeneous {K}uramoto Oscillators},
     author = {Menara, Tommaso and Baggio, Giacomo and Bassett, Dani and Pasqualetti, Fabio},
     journal = {IEEE Transactions on Control of Network Systems},
     volume = {7},
     number = {1},
     pages = {302-314},
     year = {2020},
     doi = {10.1109/TCNS.2019.2903914},
   }

4. Learning Minimum-Energy Controls from Heterogeneous Data

   Giacomo Baggio, and Fabio Pasqualetti

   In American Control Conference (ACC), 2020

   DOI Bib

   @inproceedings{baggio2020heterogeneous,
     title = {Learning Minimum-Energy Controls from Heterogeneous Data},
     author = {Baggio, Giacomo and Pasqualetti, Fabio},
     booktitle = {American Control Conference (ACC)},
     pages = {3991-3996},
     year = {2020},
     doi = {10.23919/ACC45564.2020.9147409},
   }

2019

1. 

   Data-driven Minimum-Energy Controls for Linear Systems

   Giacomo Baggio, Vaibhav Katewa, and Fabio Pasqualetti

   IEEE Control Systems Letters, 2019

   Awarded DOI Bib

   IEEE Control Systems Letters Best Paper Award

   @article{baggio2019data,
     title = {Data-driven Minimum-Energy Controls for Linear Systems},
     author = {Baggio, Giacomo and Katewa, Vaibhav and Pasqualetti, Fabio},
     journal = {IEEE Control Systems Letters},
     volume = {3},
     number = {3},
     pages = {589-594},
     year = {2019},
     doi = {10.1109/LCSYS.2019.2914090},
   }

2. 

   Conal Distances Between Rational Spectral Densities

   Giacomo Baggio, Augusto Ferrante, and Rodolphe Sepulchre

   IEEE Transactions on Automatic Control, 2019

   DOI Bib Code

   @article{baggio2019conal,
     title = {Conal Distances Between Rational Spectral Densities},
     author = {Baggio, Giacomo and Ferrante, Augusto and Sepulchre, Rodolphe},
     journal = {IEEE Transactions on Automatic Control},
     volume = {64},
     number = {5},
     pages = {1848-1857},
     year = {2019},
     doi = {10.1109/TAC.2018.2855114},
   }

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

   Bin Zhu, and Giacomo Baggio

   IEEE Transactions on Automatic Control, 2019

   DOI Bib

   @article{zhu2019existence,
     title = {On the Existence of a Solution to a Spectral Estimation Problem {\'a} la {B}yrnes-{G}eorgiou-{L}indquist},
     author = {Zhu, Bin and Baggio, Giacomo},
     journal = {IEEE Transactions on Automatic Control},
     volume = {64},
     number = {2},
     pages = {820-825},
     year = {2019},
     doi = {10.1109/TAC.2018.2836984},
   }

4. 

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

   Giacomo Baggio, and Augusto Ferrante

   IEEE Transactions on Automatic Control, 2019

   DOI Bib

   @article{baggio2019parametrization,
     title = {Parametrization of Minimal Spectral Factors of Discrete-Time Rational Spectral Densities},
     author = {Baggio, Giacomo and Ferrante, Augusto},
     journal = {IEEE Transactions on Automatic Control},
     volume = {64},
     number = {1},
     pages = {396-403},
     year = {2019},
     doi = {10.1109/TAC.2018.2829474},
   }

5. A Framework to Control Functional Connectivity in the Human Brain

   Tommaso Menara, Giacomo Baggio, Dani Bassett, and Fabio Pasqualetti

   In IEEE Conference on Decision and Control (CDC), 2019

   Awarded DOI Bib

   IEEE Roberto Tempo Best Paper Award

   @inproceedings{menara2019control,
     title = {A Framework to Control Functional Connectivity in the Human Brain},
     author = {Menara, Tommaso and Baggio, Giacomo and Bassett, Dani and Pasqualetti, Fabio},
     booktitle = {IEEE Conference on Decision and Control (CDC)},
     pages = {4697-4704},
     year = {2019},
     doi = {10.1109/CDC40024.2019.9029223},
   }

6. Gramian Optimization with Input-Power Constraints

   Giacomo Baggio, Sandro Zampieri, and Carsten W Scherer

   In IEEE Conference on Decision and Control (CDC), 2019

   DOI Bib

   @inproceedings{baggio2019gramian,
     title = {Gramian Optimization with Input-Power Constraints},
     author = {Baggio, Giacomo and Zampieri, Sandro and Scherer, Carsten W},
     booktitle = {IEEE Conference on Decision and Control (CDC)},
     pages = {5686-5691},
     year = {2019},
     doi = {10.1109/CDC40024.2019.9029169},
   }

7. Quantum Information Encoding from Stabilizing Dynamics

   Francesco Ticozzi, Giacomo Baggio, and Lorenza Viola

   In IEEE Conference on Decision and Control (CDC), 2019

   DOI Bib

   @inproceedings{ticozzi2019encoding,
     title = {Quantum Information Encoding from Stabilizing Dynamics},
     author = {Ticozzi, Francesco and Baggio, Giacomo and Viola, Lorenza},
     booktitle = {IEEE Conference on Decision and Control (CDC)},
     pages = {413-418},
     year = {2019},
     doi = {10.1109/CDC40024.2019.9029402},
   }

8. The Shannon Capacity of Linear Dynamical Networks

   Giacomo Baggio, Vaibhav Katewa, Fabio Pasqualetti, and Sandro Zampieri

   In European Control Conference (ECC), 2019

   DOI Bib

   @inproceedings{baggio2019shannon,
     title = {The {S}hannon Capacity of Linear Dynamical Networks},
     author = {Baggio, Giacomo and Katewa, Vaibhav and Pasqualetti, Fabio and Zampieri, Sandro},
     booktitle = {European Control Conference (ECC)},
     pages = {602-607},
     year = {2019},
     doi = {10.1109/CDC40024.2019.9029402},
   }

9. Exact and Approximate Stability Conditions for Cluster Synchronization of Kuramoto Oscillators

   Tommaso Menara, Giacomo Baggio, Dani Bassett, and Fabio Pasqualetti

   In American Control Conference (ACC), 2019

   Awarded DOI Bib

   ACC Best Student Paper Award

   @inproceedings{menara2019exact,
     title = {Exact and Approximate Stability Conditions for Cluster Synchronization of {K}uramoto Oscillators},
     author = {Menara, Tommaso and Baggio, Giacomo and Bassett, Dani and Pasqualetti, Fabio},
     booktitle = {American Control Conference (ACC)},
     pages = {205-210},
     year = {2019},
     doi = {10.23919/ACC.2019.8814837},
   }

2018

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

   Giacomo Baggio

   IEEE Transactions on Automatic Control, 2018

   DOI Bib

   @article{baggio2018convergence,
     title = {Further Results on the Convergence of the {P}avon-{F}errante Algorithm for Spectral Estimation},
     author = {Baggio, Giacomo},
     journal = {IEEE Transactions on Automatic Control},
     volume = {63},
     number = {10},
     pages = {3510-3515},
     year = {2018},
     doi = {10.1109/TAC.2018.2794407},
   }

2. Information Transmission in Dynamical Networks: The Normal Network Case

   Giacomo Baggio, Virginia Rutten, Guillaume Hennequin, and Sandro Zampieri

   In IEEE Conference on Decision and Control (CDC), 2018

   DOI Bib

   @inproceedings{baggio2018information,
     title = {Information Transmission in Dynamical Networks: The Normal Network Case},
     author = {Baggio, Giacomo and Rutten, Virginia and Hennequin, Guillaume and Zampieri, Sandro},
     booktitle = {IEEE Conference on Decision and Control (CDC)},
     pages = {2543-2548},
     year = {2018},
     doi = {10.1109/CDC.2018.8619813},
   }

3. On the Relation between Non-normality and Diameter in Linear Dynamical Networks

   Giacomo Baggio, and Sandro Zampieri

   In European Control Conference (ECC), 2018

   Awarded DOI Bib Supp

   ECC Best Student Paper Award

   @inproceedings{baggio2018diameter,
     title = {On the Relation between Non-normality and Diameter in Linear Dynamical Networks},
     author = {Baggio, Giacomo and Zampieri, Sandro},
     booktitle = {European Control Conference (ECC)},
     pages = {1839-1844},
     year = {2018},
     doi = {10.23919/ECC.2018.8550551},
   }

4. Improving Consensus-based Distributed Camera Calibration via Edge Pruning and Graph Traversal Initialization

   Giulia Michieletto, Simone Milani, Angelo Cenedese, and Giacomo Baggio

   In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018

   DOI Bib

   @inproceedings{michieletto2018consensus,
     title = {Improving Consensus-based Distributed Camera Calibration via Edge Pruning and Graph Traversal Initialization},
     author = {Michieletto, Giulia and Milani, Simone and Cenedese, Angelo and Baggio, Giacomo},
     booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
     pages = {3166-3170},
     year = {2018},
     doi = {10.1109/ICASSP.2018.8461976},
   }

2017

1. 

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

   Nicoletta Bof, Giacomo Baggio, and Sandro Zampieri

   IEEE Transactions on Control of Network Systems, 2017

   DOI Bib

   @article{bof2017centrality,
     title = {On the Role of Network Centrality in the Controllability of Complex Networks},
     author = {Bof, Nicoletta and Baggio, Giacomo and Zampieri, Sandro},
     journal = {IEEE Transactions on Control of Network Systems},
     volume = {4},
     number = {3},
     pages = {643-653},
     year = {2017},
     doi = {10.1109/TCNS.2016.2550862},
   }

2. LTI Stochastic Processes: a Behavioral Perspective

   Giacomo Baggio, and Rodolphe Sepulchre

   IFAC-PapersOnLine, 2017

   IFAC World Congress 2017

   DOI Bib

   @article{baggio2017stochastic,
     title = {{LTI} Stochastic Processes: a Behavioral Perspective},
     author = {Baggio, Giacomo and Sepulchre, Rodolphe},
     journal = {IFAC-PapersOnLine},
     volume = {50},
     number = {1},
     pages = {2806-2811},
     year = {2017},
     note = {IFAC World Congress 2017},
     doi = {10.1016/j.ifacol.2017.08.631},
   }

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

   Giacomo Baggio

   IFAC-PapersOnLine, 2017

   IFAC World Congress 2017

   DOI Bib

   @article{baggio2017convergence,
     title = {On the Convergence of a Matricial Fixed-Point Iteration Connected with Spectral Estimation},
     author = {Baggio, Giacomo},
     journal = {IFAC-PapersOnLine},
     volume = {50},
     number = {1},
     pages = {7415-7420},
     year = {2017},
     note = {IFAC World Congress 2017},
     doi = {10.1016/j.ifacol.2017.08.1499},
   }

2016

1. On Minimal Spectral Factors with Zeroes and Poles lying on Prescribed Regions

   Giacomo Baggio, and Augusto Ferrante

   IEEE Transactions on Automatic Control, 2016

   DOI Bib

   @article{baggio2016minimal,
     title = {On Minimal Spectral Factors with Zeroes and Poles lying on Prescribed Regions},
     author = {Baggio, Giacomo and Ferrante, Augusto},
     journal = {IEEE Transactions on Automatic Control},
     volume = {61},
     number = {8},
     pages = {2251-2255},
     year = {2016},
     doi = {10.1109/TAC.2015.2484330},
   }

2. On the Factorization of Rational Discrete-Time Spectral Densities

   Giacomo Baggio, and Augusto Ferrante

   IEEE Transactions on Automatic Control, 2016

   DOI Bib

   @article{baggio2016factorization,
     title = {On the Factorization of Rational Discrete-Time Spectral Densities},
     author = {Baggio, Giacomo and Ferrante, Augusto},
     journal = {IEEE Transactions on Automatic Control},
     volume = {61},
     number = {4},
     pages = {969-981},
     year = {2016},
     doi = {10.1109/TAC.2015.2484330},
   }

2012

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

   Giacomo Baggio, Francesco Ticozzi, and Lorenza Viola

   In IEEE Conference on Decision and Control (CDC), 2012

   DOI Bib

   @inproceedings{baggio2012quantum,
     title = {Quantum State Preparation by Controlled Dissipation in Finite Time: From Classical to Quantum Controllers},
     author = {Baggio, Giacomo and Ticozzi, Francesco and Viola, Lorenza},
     booktitle = {IEEE Conference on Decision and Control (CDC)},
     pages = {1072-1077},
     year = {2012},
     doi = {10.1109/CDC.2012.6426787},
   }