Publications & Preprints

Journal Papers

  • D. Benozzo, G. Baggio, G. Baron, A. Chiuso, S. Zampieri, and A. Bertoldo
    “Analyzing Asymmetry in Brain Hierarchies with a Linear State-space Model of Resting-state fMRI Data”
    Submitted, 2023.
    [bioRxiv]

  • F. Celi, G. Baggio, and F. Pasqualetti
    “Closed-form and Robust Expressions for Data-driven LQ Control”
    Annual Reviews in Control, 2023. To appear.

  • G. Baggio and S. Zampieri
    “Controllability of Large-Scale Networks: The Control Energy Exponents”
    IEEE Transactions on Control of Network Systems, 2023. To appear.
    [online]

  • F. Celi, G. Baggio, and F. Pasqualetti
    “Distributed Data-Driven Control of Network Systems”
    IEEE Open Journal of Control Systems, vol. 2, pp. 93-107, 2023.
    [online]

     
    @article{FC-GB-FP:23,
           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}
    }

  • G. Baggio, A. Carè, A. Scampicchio, and G. Pillonetto
    “Bayesian Frequentist Bounds for Machine Learning and System Identification”
    Automatica, vol. 146, pp. 110599, 2022.
    [online]

     
    @article{GB-AC-AS-GP:22,
           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}
    }

  • T. Menara, G. Baggio, D. S. Bassett, and F. Pasqualetti
    “Functional Control of Oscillator Networks”
    Nature Communications, vol. 13, no. 1, pp. 1-13, 2022.
    [arXiv] [online]

     
    @article{TM-GB-DSB-FP:22,
           title = {Functional Control of Oscillator Networks},
           author = {Menara, Tommaso and Baggio, Giacomo and Bassett, Danielle S and Pasqualetti, Fabio},
           journal = {Nature Communications},
           volume = {13},
           number = {1},
           pages = {1-13},
           year = {2022}
    }

  • G. Baggio, F. Pasqualetti, and S. Zampieri
    “Energy-Aware Controllability of Complex Networks”
    Annual Review of Control, Robotics, and Autonomous Systems, vol. 5, no. 1, May 2022.
    [online]

     
    @article{GB-FP-SZ:22,
           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}
    }

  • G. Baggio and S. Zampieri
    “Non-normality Improves Information Transmission Performance of Network Systems”
    IEEE Transactions on Control of Network Systems, vol. 8, no. 4, pp. 1846-1858, Dec. 2021.
    [online] [tech. note]

     
    @article{GB-SZ:21,
           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}
    }

  • G. Baggio, F. Ticozzi, P. D. Johnson, and L. Viola
    “Dissipative Encoding of Quantum Information”
    Quantum Information & Computation, vol. 21, no. 9&10, pp. 737-770, 2021.
    [arXiv] [online]

     
    @article{GB-FT-PDJ-LV:21,
           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}
    }

  • G. Baggio, D. S. Bassett, and F. Pasqualetti
    “Data-driven Control of Complex Networks”
    Nature Communications, vol. 12, no. 1, pp. 1-13, 2021. [arXiv] [online] [code]

     
    @article{GB-DSB-FP:21,
           title = {Data-driven Control of Complex Networks},
           author = {Baggio, Giacomo and Bassett, Danielle S and Pasqualetti, Fabio},
           journal = {Nature Communications},
           volume = {12},
           number = {1},
           pages = {1-13},
           year = {2021}
    }

  • G. Baggio, V. Rutten, G. Hennequin, and S. Zampieri
    “Efficient Communication over Complex Dynamical Networks: The Role of Matrix Non-Normality”
    Science Advances, vol. 6, no. 22, eaba2282, 2020.
    [arXiv] [online] [code]

     
    @article{GB-VR-GH-SZ:20,
           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}
    }

  • T. Menara, G. Baggio, D. S. Bassett, and F. Pasqualetti
    “Conditions for Feedback Linearization of Network Systems”
    IEEE Control Systems Letters, vol. 4, no. 3, pp. 578-583, July 2020.
    [online]

     
    @article{TM-GB-DSB-FP:20a,
           title = {Conditions for Feedback Linearization of Network Systems},
           author = {Menara, Tommaso and Baggio, Giacomo and Bassett, Danielle S and Pasqualetti, Fabio},
           journal = {IEEE Control Systems Letters},
           volume = {4},
           number = {3},
           pages = {578-583},
           year = {2020}
    }

  • T. Menara, G. Baggio, D. S. Bassett, and F. Pasqualetti
    “Stability Conditions for Cluster Synchronization in Networks of Heterogenous Kuramoto Oscillators”
    IEEE Transactions on Control of Network Systems, vol. 7, no. 1, pp. 302-314, March 2020. [arXiv] [online]

     
    @article{TM-GB-DSB-FP:20b,
           title = {Stability Conditions for Cluster Synchronization in Networks of Heterogeneous {K}uramoto Oscillators},
           author = {Menara, Tommaso and Baggio, Giacomo and Bassett, Danielle S and Pasqualetti, Fabio},
           journal = {IEEE Transactions on Control of Network Systems},
           volume = {7},
           number = {1},
           pages = {302-314},
           year = {2020}
    }

  • G. Baggio, V. Katewa, and F. Pasqualetti
    “Data-driven Minimum-Energy Controls for Linear Systems”
    IEEE Control Systems Letters, vol. 3, no. 3, pp. 589-594, July 2019. [arXiv] [online] [corr.]

     
    @article{GB-VK-FP:19,
           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}
    }

  • G. Baggio, A. Ferrante, and R. Sepulchre
    “Conal Distances Between Rational Spectral Densities”
    IEEE Transactions on Automatic Control, vol. 64, no. 5, pp. 1848-1857, May 2019. [arXiv] [online] [code]

     
    @article{GB-AF-RS:19,
           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}
    }

  • B. Zhu and G. Baggio
    “On the Existence of a Solution to a Spectral Estimation Problem à la Byrnes–Georgiou–Lindquist”
    IEEE Transactions on Automatic Control, vol. 64, no. 2, pp. 820-825, Feb. 2019. [arXiv] [online]

     
    @article{BZ-GB:19,
           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}
    }

  • G. Baggio and A. Ferrante
    “Parametrization of Minimal Spectral Factors of Discrete-Time Rational Spectral Densities”
    IEEE Transactions on Automatic Control, vol. 64, no. 1, pp. 396-403, Jan. 2019. [arXiv] [online]

     
    @article{GB-AF:19,
           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}
    }

  • G. Baggio
    “Further Results on the Convergence of the Pavon–Ferrante Algorithm for Spectral Estimation”
    IEEE Transactions on Automatic Control, vol. 63, no. 10, pp. 3510-3515, Oct. 2018. [arXiv] [online]

     
    @article{GB:18,
           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}
    }

  • N. Bof, G. Baggio, and S. Zampieri
    “On the Role of Network Centrality in the Controllability of Complex Networks”
    IEEE Transactions on Control of Network Systems, vol. 4, no. 3, pp. 643-653, Sept. 2017. [arXiv] [online]

     
    @article{NB-GB-SZ:17,
           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}
    }

  • G. Baggio and A. Ferrante
    “On Minimal Spectral Factors with Zeroes and Poles lying on Prescribed Regions”
    IEEE Transactions on Automatic Control, vol. 61, no. 8, pp. 2251-2255, Aug. 2016. [arXiv] [online]

     
    @article{GB-AF:16b,
           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}
    }

  • G. Baggio and A. Ferrante
    “On the Factorization of Rational Discrete-Time Spectral Densities”
    IEEE Transactions on Automatic Control, vol. 61, no. 4, pp. 969-981, April 2016. [arXiv] [online]

     
    @article{GB-AF:16a,
           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}
    }

Conference Papers

  • M. Peruzzo, G. Baggio, and F. Ticozzi
    “Exploring the Impact of Memory on Network Controllability”
    2023. Submitted.

  • U. Casti, G. Baggio, D. Benozzo, S. Zampieri, A. Bertoldo, and A. Chiuso
    “Dynamic Brain Networks with Prescribed Functional Connectivity”
    IEEE Conference on Decision and Control (CDC), Marina Bay Sands, Singapore, 2023. To appear.
    [arXiv]

  • F. Celi, G. Baggio, and F. Pasqualetti
    “Data-driven Eigenstructure Assignment for Sparse Feedback Design”
    IEEE Conference on Decision and Control (CDC), Marina Bay Sands, Singapore, 2023. To appear.
    [arXiv]

  • D. Benozzo, G. Baron, G. Baggio, A. Gozzi, M. Corbetta, A. Chiuso, S. Zampieri, and A. Bertoldo
    “Single Region Contribution to the Brain Dynamic (In)stability”
    Eighth National Congress of Bioengineering, GNB2023, Padova, 2023. [online]

  • F. Celi, G. Baggio, and F. Pasqualetti
    “Closed-Form Estimates of the LQR Gain from Finite Data”
    IEEE Conference on Decision and Control (CDC), Cancún, Mexico, 2022. [online]

     
    @inproceedings{FC-GB-FP:22,
           title = {Closed-Form Estimates of the LQR Gain from Finite Data},
           author = {Celi, Federico and Baggio, Giacomo and Pasqualetti, Fabio},
           booktitle = {2022 IEEE 61th Conference on Decision and Control (CDC)},
           pages = {4016-4021},
           year = {2022}
    }

  • G. Baggio and S. Zampieri
    “Reachable Volume of Large-Scale Linear Network Systems: The Single-Input Case”
    IEEE Conference on Decision and Control (CDC), Cancún, Mexico, 2022. [online]

     
    @inproceedings{GB-SZ:22,
           title = {Reachable Volume of Large-Scale Linear Network Systems: The Single-Input Case},
           author = {Baggio, Giacomo and Zampieri, Sandro},
           booktitle = {2022 IEEE 61th Conference on Decision and Control (CDC)},
           pages = {4224-4229},
           year = {2022}
    }

  • G. Baggio, A. Carè, and G. Pillonetto
    “Finite-Sample Guarantees for State-Space System Identification Under Full State Measurements”
    IEEE Conference on Decision and Control (CDC), Cancún, Mexico, 2022. [online] [code]

     
    @inproceedings{GB-AC-GP:22,
           title = {Finite-Sample Guarantees for State-Space System Identification Under Full State Measurements},
           author = {Baggio, Giacomo and Carè, Algo and Pillonetto, Gianluigi},
           booktitle = {2022 IEEE 61th Conference on Decision and Control (CDC)},
           pages = {2789-2794},
           year = {2022}
    }

  • G. Baggio and S. Zampieri
    “Worst-Case Control Energy of Single-Input Network Systems”
    IFAC Conference on Networked Systems (NecSys), Zürich, 2022. [online]

     
    @inproceedings{GB-SZ:22a,
           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}
    }

  • F. Celi, G. Baggio, and F. Pasqualetti
    “Distributed Learning of Optimal Controls for Linear Systems”
    IEEE Conference on Decision and Control (CDC), Austin, TX, USA, 2021. [online]

     
    @inproceedings{FC-GB-FP:21,
           title = {Distributed Learning of Optimal Controls for Linear Systems},
           author = {Celi, Federico and Baggio, Giacomo and Pasqualetti, Fabio},
           booktitle = {2021 IEEE 60th Conference on Decision and Control (CDC)},
           pages = {5764-5769},
           year = {2021}
    }

  • G. Baggio and F. Pasqualetti
    “Learning Minimum-Energy Controls from Heterogeneous Data”
    American Control Conference (ACC), Denver, CO, USA, 2020. [arXiv] [online]

     
    @inproceedings{GB-FP:20,
           title = {Learning Minimum-Energy Controls from Heterogeneous Data},
           author = {Baggio, Giacomo and Pasqualetti, Fabio},
           booktitle = {2020 American Control Conference (ACC)},
           pages = {3991-3996},
           year = {2020}
    }

  • T. Menara, G. Baggio, D. S. Bassett, and F. Pasqualetti
    “A Framework to Control Functional Connectivity in the Human Brain”
    IEEE Conference on Decision and Control (CDC), Nice, France, 2019. [arXiv] [online]

     
    @inproceedings{TM-GB-DSB-FP:19b,
           title = {A Framework to Control Functional Connectivity in the Human Brain},
           author = {Menara, Tommaso and Baggio, Giacomo and Bassett, Danielle S and Pasqualetti, Fabio},
           booktitle = {2019 IEEE 58th Conference on Decision and Control (CDC)},
           pages = {4697-4704},
           year = {2019}
    }

  • G. Baggio, S. Zampieri, and C. W. Scherer
    “Gramian Optimization with Input-Power Constraints”
    IEEE Conference on Decision and Control (CDC), Nice, France, 2019. [online]

     
    @inproceedings{GB-SZ-CWS:19,
           title = {Gramian Optimization with Input-Power Constraints},
           author = {Baggio, Giacomo and Zampieri, Sandro and Scherer, Carsten W},
           booktitle = {2019 IEEE 58th Conference on Decision and Control (CDC)},
           pages = {5686-5691},
           year = {2019}
    }

  • F. Ticozzi, G. Baggio, and L. Viola
    “Quantum Information Encoding from Stabilizing Dynamics”
    IEEE Conference on Decision and Control (CDC), Nice, France, 2019. [online]

     
    @inproceedings{FT-GB-LV:19,
           title = {Quantum Information Encoding from Stabilizing Dynamics},
           author = {Ticozzi, Francesco and Baggio, Giacomo and Viola, Lorenza},
           booktitle = {2019 IEEE 58th Conference on Decision and Control (CDC)},
           pages = {413-418},
           year = {2019}
    }

  • G. Baggio, V. Katewa, F. Pasqualetti, and S. Zampieri
    “The Shannon Capacity of Linear Dynamical Networks”
    European Control Conference (ECC), Naples, Italy, 2019. [online]

     
    @inproceedings{GB-VK-FP-SZ:19,
           title = {The {S}hannon Capacity of Linear Dynamical Networks},
           author = {Baggio, Giacomo and Katewa, Vaibhav and Pasqualetti, Fabio and Zampieri, Sandro},
           booktitle = {2019 European Control Conference (ECC)},
           pages = {602-607},
           year = {2019}
    }

  • T. Menara, G. Baggio, D. S. Bassett, and F. Pasqualetti
    “Exact and Approximate Stability Conditions for Cluster Synchronization of Kuramoto Oscillators”
    American Control Conference (ACC), Philadelphia, PA, USA, 2019.
    [online]

     
    @inproceedings{TM-GB-DSB-FP:19a,
           title = {Exact and Approximate Stability Conditions for Cluster Synchronization of {K}uramoto Oscillators},
           author = {Menara, Tommaso and Baggio, Giacomo and Bassett, Danielle S and Pasqualetti, Fabio},
           booktitle = {2019 American Control Conference (ACC)},
           pages = {205-210},
           year = {2019}
    }

  • G. Baggio, V. Rutten, G. Hennequin, and S. Zampieri
    “Information Transmission in Dynamical Networks: The Normal Network Case”
    IEEE Conference on Decision and Control (CDC), Miami, FL, USA, 2018.
    [online]

     
    @inproceedings{GB-VR-GH-SZ:18,
           title = {Information Transmission in Dynamical Networks: The Normal Network Case},
           author = {Baggio, Giacomo and Rutten, Virginia and Hennequin, Guillaume and Zampieri, Sandro},
           booktitle = {2018 IEEE 58th Conference on Decision and Control (CDC)},
           pages = {2543-2548},
           year = {2018}
    }

  • G. Baggio and S. Zampieri
    “On the Relation between Non-Normality and Diameter in Linear Dynamical Networks”
    European Control Conference (ECC), Limassol, Cyprus, 2018.
    [online] [full]

     
    @inproceedings{GB-SZ:18,
           title = {On the Relation between Non-normality and Diameter in Linear Dynamical Networks},
           author = {Baggio, Giacomo and Zampieri, Sandro},
           booktitle = {2018 European Control Conference (ECC)},
           pages = {1839-1844},
           year = {2018}
    }

  • G. Michieletto, S. Milani, A. Cenedese, and G. Baggio
    “Improving Consensus-based Distributed Camera Calibration via Edge Pruning and Graph Traversal Initialization”
    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, Canada, 2018.
    [online]

     
    @inproceedings{GM-SM-AC-GB:18,
           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 = {2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
           pages = {3166-3170},
           year = {2018}
    }

  • G. Baggio and R. Sepulchre
    “LTI Stochastic Processes: a Behavioral Perspective”
    Proceedings of 20th IFAC World Congress, Toulouse, France, 2017.
    [arXiv] [online]

     
    @article{GB-RS:17,
           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}
    }

  • G. Baggio
    “On the Convergence of a Matricial Fixed-Point Iteration Connected with Spectral Estimation”
    Proceedings of 20th IFAC World Congress, Toulouse, France, 2017.
    [online]

     
    @article{GB:17,
           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}
    }

  • G. Baggio, F. Ticozzi, and L. Viola
    “Quantum State Preparation by Controlled Dissipation in Finite Time: From Classical to Quantum Controllers”
    IEEE Conference on Decision and Control (CDC), Maui, HI, USA, 2012.
    [arXiv] [online]

     
    @inproceedings{FT-GB-LV:12,
           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 = {2012 IEEE 51st Conference on Decision and Control (CDC)},
           pages = {1072-1077},
           year = {2012}
    }

Posters & Extended Abstracts

  • G. Baggio and M. Fabris
    “How Complex is a Complex Dynamical Network?”
    NetSci 2020, Rome, Italy, 17-25 September 2020 (online).

  • G. Baggio and S. Zampieri
    “Network Non-Normality Benefits Communication in Noisy Environments”
    NetSci 2020, Rome, Italy, 17-25 September 2020 (online).

  • G. Baggio and F. Pasqualetti
    “Data-driven Optimal Control of Complex Networks”
    ACC Workshop - Analysis and Control of Complex Networks: State of the Art and Research Directions, Philadelphia, PA, USA, 9 July 2019. [Poster]

  • G. Baggio and R. Sepulchre
    “Stochastic Processes: a Behavioral Perspective”
    Workshop - Biological Control Across Scales, Cambridge, UK, 27-28 June 2016. [Poster]