Fabio Pasqualetti
Associate Professor, University of California at Riverside
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Year2021 | 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
- A. A. Al Makdah and V. Katewa and F. Pasqualetti, A Fundamental Performance Limitation for Adversarial Classification. IEEE Control Systems Letters, 4(1):169-174, 2019. [PDF]
Conference Articles
- A. A. Al Makdah and V. Krishnan and F. Pasqualetti, Learning Robust Feedback Policies from Demonstrations. IEEE Conf. on Decision and Control, Austin, TX, December 2021. Submitted.
- A. A. Al Makdah and V. Katewa and F. Pasqualetti, Taming Adversarial Robustness via Abstaining. IEEE Conf. on Decision and Control, Austin, TX, December 2021. Submitted.
- R. Anguluri and A. A. Al Makdah and V. Katewa and F. Pasqualetti, On the Robustness of Data-Driven Controllers for Linear Systems. Learning for Dynamics & Control, San Francisco, CA, USA, pages 404-412, June 2020. [PDF]
- A. A. Al Makdah and V. Katewa and F. Pasqualetti, Accuracy Prevents Robustness in Perception-based Control. American Control Conference, Denver, CO, USA, July 2020. [PDF]
- V. Krishnan and A. A. Al Makdah and F. Pasqualetti, Lipschitz Bounds and Provably Robust Training by Laplacian Smoothing. Advances in Neural Information Processing Systems, Vancouver, Canada, pages 10924-10935, December 2020. [PDF]
Book Chapters
Fabio Pasqualetti - University of California at Riverside