Fabio Pasqualetti

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  Year
2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | View all

  Topic
Learning for control
Cyber-physical security
Network analysis and design
Distributed control/estimation
Network neuroscience
Smart power grid
Robotic patrolling/surveillance

  Co-author
R. Anguluri
G. Baggio
D. S. Bassett
R. Betzel
G. Bianchin
A. Bicchi
F. Bullo
R. Carli
F. Celi
J. Cortés
F. Dörfler
A. Franchi
P. Frasca
A. Gasparri
S. Grafton
A. A. Al Makdah
S. Gu
V. Gupta
V. Katewa
V. Krishnan
J. D. Medaglia
T. Menara
S. F. Muldoon
H. Mohsenian-Rad
Y. Qin
S. Zampieri
S. Zhao
Q. Zhu

Journal Articles

1. A. Allibhoy and F. Celi and F. Pasqualetti and J. Cortés, Optimal Network Interventions to Control the Spreading of Oscillations. IEEE Open Journal of Control Systems, 1:141-151, 2022.
2. T. Menara and G. Lisi and F. Pasqualetti and A. Cortese, Brain network dynamics fingerprints are resilient to data heterogeneity. Journal of Neural Engineering, 18(2):026004, 2021. [PDF]
3. F. Celi and A. Allibhoy and F. Pasqualetti and J. Cortés, Linear-Threshold Dynamics for the Study of Epileptic Events. IEEE Control Systems Letters, 5:1405-1410, 2020.
4. E. Nozari and F. Pasqualetti and J. Cortés, Heterogeneity of central nodes explains the benefits of time-varying control scheduling in complex dynamical networks. Journal of Complex Networks, 1-43, 2019. [PDF]

Conference Articles

1. E. Nozari and F. Pasqualetti and J. Cortés, Time-invariant versus time-varying actuator scheduling in complex networks. American Control Conference, Seattle, WA, USA, pages 4995-5000, May 2017. [PDF]
2. Y. Zhao and F. Pasqualetti and J. Cortés, Scheduling of Control Nodes for Improved Network Controllability. IEEE Conf. on Decision and Control, Las Vegas, NV, pages 1859-1864, December 2016. [PDF]

Book Chapters