UCR

Fabio Pasqualetti

Professor, University of California at Riverside

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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. Y. Qin and F. Pasqualetti and D. S. Bassett and M. van Gerven, Vibrational Control of Complex Networks. IEEE Transactions on Control of Network Systems, 2024. Submitted.
  2. L. Parkes and J. Kim and J. Stiso and J. Brynildsen and M. Cieslak and S. Covitz and R. Gur and R. Gur and F. Pasqualetti and R. Shinohara and D. Zhou and T. Satterthwaite and D. S. Bassett, A network control theory pipeline for studying the dynamics of the structural connectome. Nature Protocols, 2024.
  3. K. Elamvazhuthi and S. Oymak and F. Pasqualetti, Noise in the reverse process improves the approximation capabilities of diffusion models. ArXiv, 2024. Submitted.
  4. D. Gadginmath and S. Tripathi and F. Pasqualetti, Fusing Multiple Algorithms for Heterogeneous Online Learning. IEEE Control Systems Letters, 2024. Submitted.
  5. C. De Persis and D. Gadginmath and F. Pasqualetti and P. Tesi, Feedback linearization through the lens of data. IEEE Transactions on Automatic Control, 2024. Submitted.
  6. L. Gong and F. Pasqualetti and T. Papouin and S. Ching, Astrocytes as a mechanism for meta-plasticity and contextually-guided network function. PLoS Computational Biology, 2024.
  7. D. Gadginmath and V. Krishnan and F. Pasqualetti, Data-Driven Feedback Linearization using the Koopman Generator. IEEE Transactions on Automatic Control, 2024. To appear.
  8. G. Bianchin and F. Pasqualetti, Navigation Systems May Deteriorate Stability in Traffic Networks. IEEE Open Journal of Control Systems, 3:239-252, 2024. [PDF]
  9. Y. Qin and A. M. Nobili and D. S. Bassett and F. Pasqualetti, Vibrational Stabilization of Cluster Synchronization in Oscillator Networks. IEEE Open Journal of Control Systems, 2:439-453, 2023.
  10. S. Rakshit and F. Pasqualetti, Robustness of Synchronization with Heterogeneous Self-dynamics and Interactions. IEEE Control Systems Letters, 2023. To appear.
  11. F. Celi and G. Baggio and F. Pasqualetti, Closed-form and Robust Formulas for Data-driven LQ Control. Annual Reviews in Control, 56:2023.
  12. T. Guo and A. A. {Al Makdah} and V. Krishnan and F. Pasqualetti, Imitation and Transfer Learning for LQG Control. IEEE Control Systems Letters, 7:2149-2154, 2023.
  13. F. Celi and G. Baggio and F. Pasqualetti, Distributed Data-Driven Control of Network Systems. IEEE Open Journal of Control Systems, 2:93-107, 2023.
  14. G. Baggio and F. Pasqualetti and S. Zampieri, Energy-Aware Controllability of Complex Networks. Annual Reviews in Control, 5:465-489, 2022.
  15. 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.
  16. T. Menara and G. Baggio and D. S. Bassett and F. Pasqualetti, Functional Control of Oscillator Networks. Nature Communications, 13:4721, 2022.
  17. M. Boldrer and F. Pasqualetti and L. Palopoli and D. Fontanelli, Multi-Agent Persistent Monitoring via Time-Inverted Kuramoto Dynamics. IEEE Control Systems Letters, 6:2798-2803, 2022.
  18. 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, 1:85-99, 2022.
  19. 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, 1:41-56, 2022.
  20. F. Celi and F. Pasqualetti, Data-driven Meets Geometric Control: Zero Dynamics, Subspace Stabilization, and Malicious Attacks. IEEE Control Systems Letters, 6:2569-2574, 2022.
  21. X. He and L. Caciagli and L. Parkes and J. Stiso and T. M Karrer and J. Z. Kim and Z. Lu and T. Menara and F. Pasqualetti and M. R. Sperling and J. I. Tracy and D. S. Bassett, Uncovering the biological basis of control energy: Structural and metabolic correlates of energy inefficiency in temporal lobe epilepsy. {S}cience {A}dvances, 8(45):eabn2293, 2022.
  22. 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, 141:110277, 2022. [PDF]
  23. P. Srivastava and P. Mucha and K. Ochsner and E. Falk and F. Pasqualetti and D. S. Bassett, Structural underpinnings of control in multiplex networks. Arxiv, 2021.
  24. T. Menara and Y. Qin and D. S. Bassett and F. Pasqualetti, Relay Interactions Enable Remote Synchronization in Networks of Phase Oscillators. IEEE Control Systems Letters, 6:500-505, 2021.
  25. 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]
  26. Y. Qin and T. Menara and D. S. Bassett and F. Pasqualetti, Phase-Amplitude Coupling in Neuronal Oscillator Networks. Physical Review Research, 3(2):2021. [PDF]
  27. B. H. Scheid and A. Ashourvan and J. Stiso and K. A. Davis and F. Mikhail and F. Pasqualetti and B. Litt and D. S. Bassett, Time-evolving controllability of effective connectivity networks during seizure progression. Proceedings of the National Academy of Sciences, 2021. [PDF]
  28. U. Braun and A. Harneit and G. Pergola and T. Menara and A. Schaefer and R. F. Betzel and Z. Zang and J. I. Schweiger and X. Zhang and K. Schwarz and J. Chen and G. Blasi and A. Bertolino and D. Durstewitz and F. Pasqualetti and E. Schwarz and A. Meyer-Lindenberg and D. S. Bassett and H. Tost, Brain network dynamics during working memory are modulated by dopamine and diminished in schizophrenia. Nature Communications, 3478, 2021. [PDF]
  29. G. Baggio and D. S. Bassett and F. Pasqualetti, Data-Driven Control of Complex Networks. Nature Communications, 12(1429):2021. [PDF]
  30. V. Katewa and R. Anguluri and F. Pasqualetti, On a Security vs Privacy Trade-off in Interconnected Dynamical Systems. Automatica, 125:2021. [PDF]
  31. V. Katewa and F. Pasqualetti, Minimum-gain Pole Placement with Sparse Static Feedback. IEEE Transactions on Automatic Control, 66(8):1558-2523, 2021. [PDF]
  32. 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.
  33. K. P. Szymula and F. Pasqualetti and A. M. Graybiel and T. M. Desrochers and D. S. Bassett, Habit learning supported by efficiently controlled network dynamics in naive macaque monkeys. Nature Neuroscience, 2020. Submitted. [PDF]
  34. J. Stiso and M.-C. Corsi and J. Vettel and J. Garcia and F. Pasqualetti and F. de Vico-Fallani and T. Lucas and D. S. Bassett, Learning in brain-computer interface control evidenced by joint decomposition of brain and behavior. Journal of Neural Engineering, 17(4):2020. [PDF]
  35. Y. Qin and M. Cao and B. D. O. Anderson and D. S. Bassett and F. Pasqualetti, Mediated Remote Synchronization: the Number of Mediators Matters. IEEE Control Systems Letters, 5(3):767-772, 2020. [PDF]
  36. V. Krishnan and F. Pasqualetti, Data-Driven Attack Detection for Linear Systems. IEEE Control Systems Letters, 5(2):671-676, 2020. [PDF]
  37. P. Srivastava and E. Nozari and J. Z. Kim and H. Ju and D. Zhou and C. Becker and F. Pasqualetti and D. S. Bassett, Models of communication and control for brain networks: distinctions, convergence, and future outlook. Network Neuroscience, 4(4):2020. [PDF]
  38. S. P. Patankar and J. Z. Kim and F. Pasqualetti and D. S. Bassett, Path-dependent connectivity, not modularity, consistently predicts controllability of structural brain networks. Network Neuroscience, 2020. In press. [PDF]
  39. J. K. Brynildsen and K. D. Mace and E. J. Cornblath and C. Weidler and F. Pasqualetti and D. S. Bassett and J. A. Blendy, Gene coexpression patterns predict opiate-induced brain state transitions. Proceedings of the National Academy of Sciences, 141:110277, 2020. [PDF]
  40. T. Menara and G. Baggio and D. S. Bassett and F. Pasqualetti, Conditions for Feedback Linearization of Network Systems. IEEE Control Systems Letters, 4(3):578-583, 2020. [PDF]
  41. T. M. Karrer and J. Z. Kim and J. Stiso and A. E. Kahn and F. Pasqualetti and U. Habel and D. S. Bassett, A practical guide to methodological considerations in the controllability of structural brain networks. Journal of Neural Engineering, 17(026031):2020. [PDF]
  42. Z. Cui and J. Stiso and G. L. Baum and J. Z. Kim and D. R. Roalf and R. F. Betzel and S. Gu and Z. Lu and C. H. Xia and R. Ciric and T. M. Moore and R. T. Shinohara and K. Ruparel and C. Davatzikos and F. Pasqualetti and R. E. Gur and R. C. Gur and D. S. Bassett and T. D. Satterthwaite, Optimization of Energy State Transition Trajectory Supports the Development of Executive Function During Youth. eLife, 9:e53060, 2020. [PDF]
  43. F. Pasqualetti and S. Zhao and C. Favaretto and S. Zampieri, Fragility Limits Performance in Complex Networks. Scientific Reports, 10(1774):2020. [PDF]
  44. E. Tang and G. L. Baum and D. R. Roalf and T. D. Satterthwaite and F. Pasqualetti and D. S. Bassett, Control of brain network dynamics across diverse scales of space and time. Physical Review E, 101(6):2020.
  45. R. Anguluri and V. Katewa and F. Pasqualetti, Centralized versus Decentralized Detection of Attacks in Stochastic Interconnected Systems. IEEE Transactions on Automatic Control, 65(9):3903-3910, 2020. [PDF]
  46. Y-C. Liu and G. Bianchin and F. Pasqualetti, Secure Trajectory Planning Against Undetectable Spoofing Attacks. Automatica, 112:108655, 2020. [PDF]
  47. V. Katewa and F. Pasqualetti, On the real stability radius of sparse systems. Automatica, 113:108685, 2020. [PDF]
  48. T. Menara and G. Baggio and D. S. Bassett and F. Pasqualetti, Stability Conditions for Cluster Synchronization in Networks of Heterogeneous Kuramoto Oscillators. IEEE Transactions on Control of Network Systems, 7(1):302-314, 2020. [PDF]
  49. J. Stiso and A. N. Khambhati and T. Menara and A. E. Kahn and J. M. Stein and S. R. Das and R. Gorniak and J. Tracy and B. Litt and K. A. Davis and F. Pasqualetti and T. H. Lucas and D. S. Bassett, White Matter Network Architecture Guides Direct Electrical Stimulation through Optimal State Transitions. Cell Reports, 28(10):2554 - 2566.e7, 2019. [PDF]
  50. F. Pasqualetti and S. Gu and D. S. Bassett, RE: Warnings and caveats in brain controllability. NeuroImage, 197:586-588, 2019.
  51. G. Bianchin and Y.-C. Liu and F. Pasqualetti, Secure Navigation of Robots in Adversarial Environments. IEEE Control Systems Letters, 4(1):1-6, 2019. [PDF]
  52. 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]
  53. G. Baggio and V. Katewa and F. Pasqualetti, Data-driven Minimum-Energy Controls for Linear Systems. IEEE Control Systems Letters, 3(3):589-594, 2019. [PDF]
  54. G. Bianchin and F. Pasqualetti, Gramian-Based Optimization for the Analysis and Control of Traffic Networks. IEEE Transactions on Intelligent Transportation Systems, 1-12, 2019.
  55. E. J. Cornblath and E. Tang and G. L. Baum and T. M. Moore and A. Abedimpe and D. R. Roalf and R. C. Gur and R. E. Gur and F. Pasqualetti and T. D. Satterthwaite and D. S. Bassett, Sex differences in network controllability as a predictor of executive function in youth. Neuroimage, 122-134, 2019. [PDF]
  56. T. Menara and D. S. Bassett and F. Pasqualetti, Structural Controllability of Symmetric Networks. IEEE Transactions on Automatic Control, 64(9):3740-3747, 2019. [PDF]
  57. 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]
  58. S. Zhao and F. Pasqualetti, Networks with Diagonal Controllability Gramians: Analysis, Graphical Conditions, and Design Algorithms. Automatica, 102:10-18, 2019. [PDF]
  59. E. Wu-Yan and R. F. Betzel and E. Tang and S. Gu and F. Pasqualetti and D. S. Bassett, Benchmarking measures of network controllability on canonical graph models. Journal of Nonlinear Science, 1-39, 2018. [PDF]
  60. J. Kim and J. M. Soffer and A. E. Kahn and J. M. Vettel and F. Pasqualetti and D. S. Bassett, Role of graph architecture in controlling dynamical networks with applications to neural systems. Nature Physics, 14:91-98, 2018. [PDF]
  61. S. Gu and M. Cieslak and B. Baird and S. F. Muldoon and S. T. Grafton and F. Pasqualetti and D. S. Bassett, The Energy Landscape of Neurophysiological Activity Implicit in Brain Network Structure. Scientific Reports, 8(2507):2018. [PDF]
  62. J. D. Medaglia and S. Gu and F. Pasqualetti and R. L. Ashare and C. Lerman and J. Kable and D. S. Bassett, Cognitive Control in the Controllable Connectome. Arxiv, 2017.
  63. S. Gu and R. F. Betzel and M. G. Mattar and M. Cieslak and P. R. Delio and S. T. Grafton and F. Pasqualetti and D. S. Bassett, Optimal trajectories of brain state transitions. NeuroImage, 148:305-317, 2017.
  64. S. Amini and F. Pasqualetti and M. Abbaszadeh and H. Mohsenian-Rad, Hierarchical Location Identification of Destabilizing Faults and Attacks in Power Systems: A Frequency-Domain Approach. IEEE Transactions on Smart Grid, 10(2):2036 - 2045, 2017. [PDF]
  65. L. Wiles and S. Gu and F. Pasqualetti and D. S Bassett and D. F. Meaney, Autaptic Connections Shift Network Excitability and Bursting. Scientific Reports, 7(44006):2017. [PDF]
  66. J. D. Medaglia and F. Pasqualetti and R. H. Hamilton and S. L. Thompson-Schill and D. S. Bassett, Brain and cognitive reserve: Translation via network control theory. Neuroscience and Biobehavioral Reviews, 75(2017):53-64, 2017. [PDF]
  67. V. Katewa and F. Pasqualetti and V. Gupta, On Privacy vs Cooperation in Multi-agent Systems. International Journal of Control, 91(7):1-15, 2017. [PDF]
  68. C.-Z. Bai and V. Gupta and F. Pasqualetti, On Kalman Filtering with Compromised Sensors: Attack Stealthiness and Performance Bounds. IEEE Transactions on Automatic Control, 62(12):6641-6648, 2017. [PDF]
  69. C.-Z. Bai and F. Pasqualetti and V. Gupta, Data-injection attacks in stochastic control systems: Detectability and performance tradeoffs. Automatica, 82:251-260, 2017. [PDF]
  70. G. Bianchin and P. Frasca and A. Gasparri and F. Pasqualetti, The Observability Radius of Networks. IEEE Transactions on Automatic Control, 62(6):3006-3013, 2017. [PDF]
  71. S. F. Muldoon and F. Pasqualetti and S. Gu and M. Cieslak and S. T. Grafton and J. M. Vettel and D. S. Bassett, Stimulation-based control of dynamic brain networks. PLoS Computational Biology, 12(9):e1005076, 2016. [PDF]
  72. R. F. Betzel and S. Gu and J. D. Medaglia and F. Pasqualetti and D. S. Bassett, Optimally controlling the human connectome: the role of network topology. Scientific Reports, 6:30770, 2016. [PDF]
  73. B. Zheng and P. Deng and R. Anguluri and Q. Zhu and F. Pasqualetti, Cross-Layer Codesign for Secure Cyber-Physical Systems. IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems, 35(5):699-711, 2016. [PDF]
  74. S. Amini and F. Pasqualetti and H. Mohsenian-Rad, Dynamic Load Altering Attacks Against Power System Stability: Attack Models and Protection Schemes. IEEE Transactions on Smart Grid, 9(4):2862 - 2872, 2016. [PDF]
  75. F. Pasqualetti and Q. Zhu, Design and Operation of Secure Cyber-Physical Systems. Embedded Systems Letters, 7(1):3-6, 2015. [PDF]
  76. F. Pasqualetti and F. Dörfler and F. Bullo, Control-Theoretic Methods for Cyberphysical Security: Geometric Principles for Optimal Cross-Layer Resilient Control Systems. IEEE Control Systems Magazine, 35(1):110-127, 2015. [PDF]
  77. D. Borra and F. Pasqualetti and F. Bullo, Continuous Graph Partitioning for Camera Network Surveillance. Automatica, 52(1):227-231, 2015. [PDF]
  78. S. Gu and F. Pasqualetti and M. Cieslak and Q. K. Telesford and B. Y. Alfred and A. E. Kahn and J. D. Medaglia and J. M. Vettel and M. B. Miller and S. T. Grafton and D. S. Bassett, Controllability of structural brain networks. Nature Communications, 6:2015. [PDF]
  79. F. Pasqualetti and S. Zampieri and F. Bullo, Controllability Metrics, Limitations and Algorithms for Complex Networks. IEEE Transactions on Control of Network Systems, 1(1):40-52, 2014. [PDF]
  80. F. Pasqualetti and D. Borra and F. Bullo, Consensus Networks over Finite Fields. Automatica, 50(2):2014. [PDF]
  81. F. Pasqualetti and F. Zanella and J. R. Peters and M. Spindler and R. Carli and F. Bullo, Camera Network Coordination for Intruder Detection. IEEE Transactions on Control Systems Technology, 22(5):1169-1683, 2014. [PDF]
  82. V. Srivastava and F. Pasqualetti and F. Bullo, Stochastic Surveillance Strategies for Spatial Quickest Detection. International Journal of Robotics Research, 32(12):1438-1458, 2013. [PDF]
  83. F. Dörfler and F. Pasqualetti and F. Bullo, Continuous-Time Distributed Observers with Discrete Communication. IEEE Journal of Selected Topics in Signal Processing, 7(2):296-304, 2013. [PDF]
  84. F. Pasqualetti and F. Dörfler and F. Bullo, Attack Detection and Identification in Cyber-Physical Systems. IEEE Transactions on Automatic Control, 58(11):2715-2729, 2013. [PDF]
  85. F. Pasqualetti and A. Franchi and F. Bullo, On Cooperative Patrolling: Optimal Trajectories, Complexity Analysis and Approximation Algorithms. IEEE Transactions on Robotics, 28(3):592-606, 2012. [PDF]
  86. F. Pasqualetti and R. Carli and F. Bullo, Distributed Estimation via Iterative Projections with Application to Power Network Monitoring. Automatica, 48(5):747-758, 2012. [PDF]
  87. F. Pasqualetti and J. W. Durham and F. Bullo, Cooperative Patrolling via Weighted Tours: Performance Analysis and Distributed Algorithms. IEEE Transactions on Robotics, 28(5):1181-1188, 2012. [PDF]
  88. F. Pasqualetti and A. Bicchi and F. Bullo, Consensus Computation in Unreliable Networks: A System Theoretic Approach. IEEE Transactions on Automatic Control, 56(12):90-104, 2011. [PDF]

Conference Articles

  1. T. Guo and F. Pasqualetti, Transfer Learning for LQR Control. Learning for Dynamics & Control, Ann Arbor, MI, USA, June 2025. Submitted.
  2. U. Casti and G. Baggio and S. Zampieri and F. Pasqualetti, Controllable Neural Architectures for Multi-Task Control. European Control Conference, Thessaloniki, Greece, June 2025. Submitted.
  3. S. Tripathi and A. A. {Al Makdah} and F. Pasqualetti, Time Varying Quadratic Optimization With Unknown Objective Function Using Noisy Gradients. American Control Conference, Denver, CO, June 2024. Submitted.
  4. S. Zhang and D. Gadginmath and F. Pasqualetti, Predicting AI Agent Behavior through Approximation of the Perron-Frobenius Operator. Advances in Neural Information Processing Systems, Vancouver, Canada, December 2024.
  5. Y. Qin and A. El-Gazzar and D. S. Bassett and F. Pasqualetti and M. van Gerven, Analytical Characterization of Epileptic Dynamics in a Bistable System. IEEE Conf. on Decision and Control, Milan, Italy, December 2024. To appear.
  6. Z. Du and S. Oymak and F. Pasqualetti, Prediction for Dynamical Systems via Transfer Learning. IEEE Conf. on Decision and Control, Milan, Italy, December 2024. To appear.
  7. S. Cianchi and F. Celi and P. Tesi and F. Pasqualetti, Data-driven Expressions for the Control of Network Systems with Asynchronous Experiments. IEEE Conf. on Decision and Control, Milan, Italy, December 2024. To appear.
  8. K. Elamvazhuthi and D. Gadginmath and F. Pasqualetti, Denoising Diffusion-Based Control of Nonlinear Systems. IEEE Conf. on Decision and Control, Milan, Italy, December 2024. To appear.
  9. A. A. {Al Makdah} and F. Pasqualetti, Model-based and Data-based Dynamic Output Feedback for Externally Positive Systems. IEEE Conf. on Decision and Control, Milan, Italy, December 2024. To appear.
  10. T. Guo and A. A. {Al Makdah} and P. Tesi and F. Pasqualetti, A Data-driven Stability Test for LTI systems. IEEE Conf. on Decision and Control, Milan, Italy, December 2024. To appear.
  11. K. Elamvazhuthi and X. Zhang and S. Oymak and F. Pasqualetti, A Score-based Deterministic Diffusion Algorithm with Smooth Scores for General Distributions. AAAI Conference on Artificial Intelligences, Washington, DC, February 2024.
  12. Y. Chen and A. M. Ospina and F. Pasqualetti and E. Dall'Anese, Multi-Task System Identification of Similar Linear Time-Invariant Dynamical Systems. IEEE Conf. on Decision and Control, Marina Bay Sands, Singapore, December 2023. To appear. arXiv preprint arXiv:2301.01430.
  13. F. Celi and G. Baggio and F. Pasqualetti, Data-driven Eigenstructure Assignment for Sparse Feedback Design. IEEE Conf. on Decision and Control, Marina Bay Sands, Singapore, December 2023.
  14. A. A. {Al Makdah} and F. Pasqualetti, On the Sample Complexity of the Linear Quadratic Gaussian Regulator. IEEE Conf. on Decision and Control, Marina Bay Sands, Singapore, December 2023.
  15. C. {De Persis} and D. Gadginmath and F. Pasqualetti and P. Tesi, Data-Driven Feedback Linearization with Complete Dictionaries. IEEE Conf. on Decision and Control, Marina Bay Sands, Singapore, December 2023. To appear.
  16. K. Elamvazhuthi and X. Zhang and S. Oymak and F. Pasqualetti, Learning on Manifolds: Universal Approximations Properties using Geometric Controllability Conditions of Neural ODEs. Learning for Dynamics & Control, Philadelphia, PA, USA, June 2023. To appear.
  17. Y. Qin and Y. Li and F. Pasqualetti and M. Fazel and S. Oymak, Stochastic Contextual Bandits with Long Horizon Rewards. AAAI Conference on Artificial Intelligences, Washington, DC, February 2023. To appear.
  18. A. M. Nobili and Y. Qin and C. A. Avizzano and D. S. Bassett and F. Pasqualetti, Vibrational Stabilization of Complex Network Systems. American Control Conference, San Diego, CA, May 2022.
  19. 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, pages 4660-4666, December 2022. [PDF]
  20. 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.
  21. 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, pages 4016-4021, December 2022.
  22. 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. [PDF]
  23. 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.
  24. 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.
  25. 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.
  26. M. Boldrer and F. Riz and F. Pasqualetti and L. Palopoli and D. Fontanelli, Time-Inverted Kuramoto Dynamics for $\kappa$-Clustered Circle Coverage. IEEE Conf. on Decision and Control, Austin, TX, pages 1205-1211, December 2021.
  27. F. Celi and G. Baggio and F. Pasqualetti, Distributed Learning of Optimal Controls for Linear Systems. IEEE Conf. on Decision and Control, Austin, TX, pages 5764-5769, December 2021.
  28. V. Krishnan and F. Pasqualetti, On Direct vs Indirect Data-Driven Predictive Control. IEEE Conf. on Decision and Control, Austin, TX, pages 736-741, December 2021.
  29. A. A. {Al Makdah} and V. Katewa and F. Pasqualetti, Robust Adversarial Classification via Abstaining. IEEE Conf. on Decision and Control, Austin, TX, pages 763-768, December 2021.
  30. R. Anguluri and F. Pasqualetti, Deflection-based Attack Detection for Network Systems. American Control Conference, New Orleans, LA, USA, May 2021.
  31. V. Katewa and F. Pasqualetti, Optimal Dynamic Load-Altering Attacks Against Power Systems. American Control Conference, New Orleans, LA, USA, May 2021.
  32. 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]
  33. G. Bianchin and F. Pasqualetti, Routing Apps May Cause Oscillatory Congestions in Traffic Networks. IEEE Conf. on Decision and Control, Jeju Island, Republic of Korea, pages 253-260, December 2020. [PDF]
  34. 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]
  35. G. Baggio and F. Pasqualetti, Learning Minimum-Energy Controls from Heterogeneous Data. American Control Conference, Denver, CO, USA, July 2020. [PDF]
  36. 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]
  37. T. Menara and G. Baggio and D. S. Bassett and F. Pasqualetti, A Framework to Control Functional Connectivity in the Human Brain. IEEE Conf. on Decision and Control, Nice, France, pages 4697-4704, December 2019. [PDF]
  38. G. Baggio and V. Katewa and F. Pasqualetti and S. Zampieri, The Shannon Capacity of Linear Dynamical Networks. European Control Conference, Naples, Italy, June 2019.
  39. T. Menara and G. Baggio and D. S. Bassett and F. Pasqualetti, Exact and Approximate Stability Conditions for Cluster Synchronization of Kuramoto Oscillators. American Control Conference, Philadelphia, PA, USA, pages 205 - 210, July 2019. [PDF]
  40. R. Anguluri and V. Katewa and F. Pasqualetti, A Probabilistic Approach to Design Switching Attacks against Interconnected Systems. American Control Conference, Philadelphia, PA, USA, July 2019.
  41. G. Bianchin and F. Pasqualetti and S. Kundu, Resilience of Traffic Networks with Partially Controlled Routing. American Control Conference, Philadelphia, PA, USA, July 2019.
  42. R. Anguluri and V. Katewa and F. Pasqualetti, On the Role of Information Sharing in the Security of Interconnected Systems. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, Honolulu, Hi, pages 1168-1173, November 2018. [PDF]
  43. R. Anguluri and V. Katewa and F. Pasqualetti, Attack Detection in Stochastic Interconnected Systems: Centralized vs Decentralized Detectors. IEEE Conf. on Decision and Control, Miami, FL, pages 4541-4546, December 2018.
  44. G. Bianchin and F. Pasqualetti, A Network Optimization Framework for the Analysis and Control of Traffic Dynamics and Intersection Signaling. IEEE Conf. on Decision and Control, Miami, FL, pages 1017-1022, December 2018.
  45. S. Zhao and F. Pasqualetti, Controllability Degree of Directed Line Networks: Nodal Energy and Asymptotic Bounds. European Control Conference, Limassol, Cyprus, pages 1857-1862, June 2018.
  46. A. Duz and S. Phillips and A. Fagiolini and R. G. Sanfelice and F. Pasqualetti, Stealthy Attacks in Cloud-Connected (Linear-Impulsive) Systems. American Control Conference, Milwaukee, WI, USA, pages 146-152, June 2018. [PDF]
  47. F. Pasqualetti and C. Favaretto and S. Zhao and S. Zampieri, Fragility and Controllability Tradeoff in Complex Networks. American Control Conference, Milwaukee, WI, USA, pages 216-221, June 2018. [PDF]
  48. T. Menara and V. Katewa and D. S. Bassett and F. Pasqualetti, The Structured Controllability Radius of Symmetric (Brain) Networks. American Control Conference, Milwaukee, WI, USA, pages 2802-2807, June 2018. [PDF]
  49. C. Favaretto and A. Cenedese and F. Pasqualetti, Cluster Synchronization in Networks of Kuramoto Oscillators. IFAC World Congress, Toulouse, France, pages 2433-2438, July 2017. [PDF]
  50. L. Tiberi and C. Favaretto and M. Innocenti and D. S. Bassett and F. Pasqualetti, Synchronization Patterns in Networks of Kuramoto Oscillators: A Geometric Approach for Analysis and Control. IEEE Conf. on Decision and Control, Melbourne, Australia, pages 481-486, December 2017. [PDF]
  51. S. Zhao and F. Pasqualetti, Discrete-Time Dynamical Networks with Diagonal Controllability Gramian. IFAC World Congress, Toulouse, France, pages 8297-8302, July 2017. [PDF]
  52. A. Ganlath and R. Anguluri and V. Katewa and F. Pasqualetti, Secure Reference-Tracking with Resource-Constrained UAVs. Conference on Control Technology and Applications, Kohala Coast, Hawaii, USA, pages 1319 - 1325, August 2017. [PDF]
  53. S. Phillips and A. Duz and F. Pasqualetti and R. G. Sanfelice, Hybrid Attack Monitor Design to Detect Recurrent Attacks in a Class of Cyber-Physical Systems. IEEE Conf. on Decision and Control, Melbourne, Australia, pages 1368-1373, December 2017.
  54. 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]
  55. C. Favaretto and D. S. Bassett and A. Cenedese and F. Pasqualetti, Bode meets Kuramoto: Synchronized Clusters in Oscillatory Networks. American Control Conference, Seattle, WA, pages 2378-5861, May 2017. [PDF]
  56. T. Menara and G. Bianchin and M. Innocenti and F. Pasqualetti, On the Number of Strongly Structurally Controllable Networks. American Control Conference, Seattle, WA, USA, pages 340-345, 2017. [PDF]
  57. 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]
  58. R. Anguluri and V. Gupta and F. Pasqualetti, Periodic Coordinated Attacks Against Cyber-Physical Systems: Detectability and Performance Bounds. IEEE Conf. on Decision and Control, Las Vegas, NV, pages 5079-5084, December 2016. [PDF]
  59. R. Anguluri and R. Dhal and S. Roy and F. Pasqualetti, Network Invariants for Optimal Input Detection. American Control Conference, Boston, MA, pages 3776-3781, July 2016. [PDF]
  60. G. Bianchin and P. Frasca and A. Gasparri and F. Pasqualetti, The Observability Radius of Network Systems. American Control Conference, Boston, MA, pages 185-190, July 2016. [PDF]
  61. A. Gasparri and F. Pasqualetti and R. Santini and S. Panzieri, Network Composition for Optimal Disturbance Rejection. American Control Conference, Boston, MA, pages 3764-3769, July 2016. [PDF]
  62. S. Amini and F. Pasqualetti and H. Mohsenian-Rad, Detecting dynamic load altering attacks: A data-driven time-frequency analysis. IEEE Int. Conf. on Smart Grid Communications, Miami, FL, pages 503-508, November 2015. [PDF]
  63. G. Bianchin and F. Pasqualetti and S. Zampieri, The Role of Diameter in the Controllability of Complex Networks. IEEE Conf. on Decision and Control, Osaka, Japan, pages 980-985, December 2015. [PDF]
  64. F. Pasqualetti and F. Dörfler and F. Bullo, A Divide-and-Conquer Approach to Distributed Attack Identification. IEEE Conf. on Decision and Control, Osaka, Japan, pages 5801-5807, December 2015. [PDF]
  65. C.-Z. Bai and F. Pasqualetti and V. Gupta, Security in stochastic control systems: Fundamental limitations and performance bounds. American Control Conference, Chicago, Il, pages 195-200, July 2015. [PDF]
  66. S. Amini and H. Mohsenian-Rad and F. Pasqualetti, Dynamic Load Altering Attacks in Smart Grid. IEEE PES Conf. on Innovative Smart Grid Technologies, Washington, DC, February 2015. [PDF]
  67. F. Pasqualetti and S. Zampieri, On the Controllability of Isotropic and Anisotropic Networks. IEEE Conf. on Decision and Control, Los Angeles, CA, USA, pages 607-612, December 2014. [PDF]
  68. F. Pasqualetti and S. Zampieri and F. Bullo, Controllability metrics and algorithms for complex networks. American Control Conference, Portland, OR, June 2014. [PDF]
  69. F. Pasqualetti and D. Borra and F. Bullo, Finite-Field Consensus. IEEE Conf. on Decision and Control, Florence, Italy, pages 2629-2634, December 2013. [PDF]
  70. M. Spindler and F. Pasqualetti and F. Bullo, Distributed multi-camera synchronization for smart-intruder detection. American Control Conference, Montreal, Canada, June 2012. [PDF]
  71. F. Pasqualetti and F. Dörfler and F. Bullo, Cyber-physical security via geometric control: Distributed monitoring and malicious attacks. IEEE Conf. on Decision and Control, Maui, HI, pages 3418-3425, December 2012. [PDF]
  72. D. Borra and F. Pasqualetti and F. Bullo, Continuous graph partitioning for camera network surveillance. IFAC Workshop on Distributed Estimation and Control in Networked Systems, Santa Barbara, CA, pages 228-233, September 2012. [PDF]
  73. F. Zanella and F. Pasqualetti and R. Carli and F. Bullo, Simultaneous boundary partitioning and cameras synchronization for optimal video surveillance. IFAC Workshop on Distributed Estimation and Control in Networked Systems, Santa Barbara, CA, pages 1-6, September 2012. [PDF]
  74. F. Pasqualetti and A. Bicchi and F. Bullo, A graph-theoretical characterization of power network vulnerabilities. American Control Conference, San Francisco, CA, USA, pages 3918-3923, June 2011. [PDF]
  75. F. Pasqualetti and R. Carli and F. Bullo, A distributed method for state estimation and false data detection in power networks. IEEE Int. Conf. on Smart Grid Communications, Brussels, Belgium, October 2011. [PDF]
  76. F. Dörfler and F. Pasqualetti and F. Bullo, Distributed detection of cyber-physical attacks in power networks: A waveform relaxation approach. Allerton Conf. on Communications, Control and Computing, September 2011. [PDF]
  77. F. Pasqualetti and F. Dörfler and F. Bullo, Cyber-physical attacks in power networks: Models, fundamental limitations and monitor design. IEEE Conf. on Decision and Control and European Control Conference, Orlando, FL, December 2011. [PDF]
  78. F. Pasqualetti and A. Franchi and F. Bullo, On optimal cooperative patrolling. IEEE Conf. on Decision and Control, Atlanta, GA, pages 7153-7158, December 2010. [PDF]
  79. F. Pasqualetti and R. Carli and A. Bicchi and F. Bullo, Identifying cyber attacks via local model information. IEEE Conf. on Decision and Control, Atlanta, GA, pages 5961-5966, December 2010. [PDF]
  80. F. Pasqualetti and R. Carli and A. Bicchi and F. Bullo, Distributed estimation and detection under local information. IFAC Workshop on Distributed Estimation and Control in Networked Systems, Annecy, France, pages 263-268, September 2010. [PDF]
  81. F. Pasqualetti and A. Bicchi and F. Bullo, On the security of linear consensus networks. IEEE Conf. on Decision and Control, Shanghai, China, pages 4894-4901, December 2009. [PDF]
  82. F. Pasqualetti and S. Martini and A. Bicchi, Steering a Leader-Follower Team Via Linear Consensus. Hybrid Systems: Computation and Control, Saint Louis, MO, pages 642-645, April 2008. [PDF]
  83. F. Pasqualetti and A. Bicchi and F. Bullo, Distributed intrusion detection for secure consensus computations. IEEE Conf. on Decision and Control, New Orleans, LA, pages 5594-5599, December 2007. [PDF]

Book Chapters

  1. T. Menara and F. Pasqualetti, Modeling, Analisys, and Control of Functional Brain Networks. Control for Societal-Scale Challenges: Road Map 2030. Ed. by A. M. Annaswamy and K. H. Johansson and G. J. Pappas. IEEE Control Systems Society, 2023.
  2. V. Katewa and C.-Z. Bai and V. Gupta and F. Pasqualetti, Detection of Attacks in Cyber-Physical Systems: Theory and Applications. Safety, security, and privacy for cyber-physical systems. Ed. by A. Teixeira and R. Ferrari. Springer Nature, 2020.
  3. V. Katewa and F. Pasqualetti and V. Gupta, On the Role of Cooperation in Private Multi-agent Systems. Privacy in Dynamical Systems. Ed. by F. Farokhi. Springer Nature, 2019.
  4. F. Pasqualetti, Controllability of network systems. Encyclopedia of Systems and Control. Ed. by J. Baillieul and T. Samad. Springer Nature, 2019. In press.
  5. D. S. Bassett and F. Pasqualetti, Network-based approaches for understanding intrinsic control capacities of the human brain. The Cognitive Neurosciences VI. Ed. by M. S. Gazzaniga and G. R. Mangun and D. Poeppel. MIT Press, 2019.
  6. G. Bianchin and F. Pasqualetti, Time-Delay Attacks in Network Systems. Cyber-Physical Systems Security. Ed. by Ç. K. Koç. Springer Nature, Chap. 8, pages 147 - 174, 2018.

PhD Thesis

  1. F. Pasqualetti, Secure Control Systems: A Control-Theoretic Approach to Cyber-Physical Security, Department of Mechanical Engineering, University of California, Santa Barbara, California, September 2012. [PDF]

Fabio Pasqualetti - University of California at Riverside