UCR

Fabio Pasqualetti

Associate Professor, University of California at Riverside

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  Year
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. M. Boldrer and F. Pasqualetti and L. Palopoli and D. Fontanelli, Multi-Agent Persistent Monitoring via Time-Inverted Kuramoto Dynamics. IEEE Control Systems Letters, 2022.
  2. Y. Qin and T. Menara and S. Oymak and S. Ching and F. Pasqualetti, Non-Stationary Representation Learning in Sequential Linear Bandits. IEEE Open Journal of Control Systems, 2022. Submitted.
  3. R. Anguluri and V. Katewa and S. Roy and F. Pasqualetti, Network Theoretic Analysis of Maximum a Posteriori Detectors for Sensor Analysis and Design. Automatica, 2022. To appear. [PDF]
  4. F. Celi and F. Pasqualetti, Data-driven Meets Geometric Control: Zero Dynamics, Subspace Stabilization, and Malicious Attacks. IEEE Control Systems Letters, 2022.
  5. A. A. Al Makdah and V. Krishnan and F. Pasqualetti, Learning Lipschitz Feedback Policies from Expert Demonstrations: Closed-Loop Guarantees, Generalization and Robustness. IEEE Open Journal of Control Systems, 2022. Submitted.

Conference Articles

  1. A. A. Al Makdah and V. Krishnan and V. Katewa and F. Pasqualetti, Behavioral Feedback for Optimal LQG Control. IEEE Conf. on Decision and Control, Cancún, Mexico, December 2022. Submitted. [PDF]
  2. Y. Qin and T. Menara and S. Oymak and S. Ching and F. Pasqualetti, Representation Learning for Context-Dependent Decision-Making. American Control Conference, Atlanta, GA, June 2022. Submitted.
  3. J. Swartz and F. Celi and F. Pasqualetti and A. von Meier, Parameter Conditions to Prevent Voltage Oscillations Caused by LTC-Inverter Hunting on Power Distribution Grids. European Control Conference, London, UK, July 2022. Submitted.
  4. Y. Qin and D. S. Bassett and F. Pasqualetti, Flexible Information Propagation in Oscillator Networks. IEEE Conf. on Decision and Control, Cancún, Mexico, December 2022. Submitted.
  5. Y. Qin and D. S. Bassett and F. Pasqualetti, Vibrational Control of Cluster Synchronization: Connections with Deep Brain Stimulation. IEEE Conf. on Decision and Control, Cancún, Mexico, December 2022. Submitted. [PDF]
  6. F. Celi and G. Baggio and F. Pasqualetti, Closed-form Estimates Of The LQR Gain From Finite Data. IEEE Conf. on Decision and Control, Cancún, Mexico, December 2022. Submitted.
  7. T. Guo and and V. Krishnan and F. Pasqualetti, Modular Learning Reduces the Sample Complexity of Transferring LQG Controls. IEEE Conf. on Decision and Control, Cancún, Mexico, December 2022. Submitted.
  8. D. Gadginmath and V. Krishnan and F. Pasqualetti, Direct vs Indirect Methods for Behavior-based Attack Detection. IEEE Conf. on Decision and Control, Cancún, Mexico, December 2022. Submitted.

Book Chapters

Fabio Pasqualetti - University of California at Riverside