Publications

Papers & chapters.

Filter by year and type. Submitted and in-press work appears at the top.

Showing all 192 entries

Submitted / In press

  1. [192]

    Learnable Sequential Memory in Coupled Oscillator Networks

    T. Guo, F. Pasqualetti
    arXiv preprint arXiv:2607.18439
    2026
  2. [191]

    Oscillator-Based Associative Memory with Exponential Capacity: Theory, Algorithms, and Hardware Implementation

    A. Ogranovich, T. Guo, A. R. Venkatakrishnan, M. R. Shapiro, F. Bullo, F. Pasqualetti
    IEEE Transactions on Control of Network Systems · Submitted
    2026
  3. [190]

    Quantifying the cost of network computations to unpack structure-function relationships in the brain

    S. S. Kulkarni, J. Z. Kim, P. Fotiadis, F. Pasqualetti, D. S. Bassett
    Nature Physics · Submitted
    2026
  4. [189]

    QUIET: Quantifying Underutilized Influential Edges for Targeted Synchronization

    S. Mohapatra, C. Alexandersen, P. Fotiadis, M. Kelz, J. Detre, F. Pasqualetti, D. S. Bassett
    Nature Methods · Submitted
    2026
  5. [188]

    Score Matching Diffusion Based Feedback Control and Planning of Nonlinear Systems

    K. Elamvazhuthi, D. Gadginmath, F. Pasqualetti
    IEEE Transactions on Automatic Control · Submitted
    2025
  6. [187]

    Transfer Learning for LQR Control

    T. Guo, F. Pasqualetti
    IEEE Transactions on Automatic Control · Submitted
    2025

2026

  1. [186]

    Attention by Synchronization in Coupled Oscillator Networks

    F. Pasqualetti, T. Guo
    Transactions on Machine Learning Research
    2026
  2. [185]

    Constricting Tubes for Prescribed-Time Safe Control

    D. Gadginmath, A. Allibhoy, F. Pasqualetti
    IEEE Control Systems Letters
    2026
  3. [184]

    Feedback linearization through the lens of data

    C. De Persis, D. Gadginmath, F. Pasqualetti, P. Tesi
    IEEE Transactions on Automatic Control
    2026
  4. [183]

    Habit learning is associated with efficiently controlled network dynamics in naive macaque monkeys

    J. K. Brynildsen, P. Fotiadis, K. P. Szymula, J. Z. Kim, F. Pasqualetti, A. M. Graybiel, T. M. Desrochers, Dani S. Bassett
    npj Complexity
    2026
  5. [182]

    Provably Safe Generative Sampling with Constricting Barrier Functions

    D. Gadginmath, A. Allibhoy, F. Pasqualetti
    Transactions on Machine Learning Research · J2C Certification
    2026
  6. [181]

    Vibrational Control of Complex Networks

    Y. Qin, F. Pasqualetti, D. S. Bassett, M. van Gerven
    IEEE Transactions on Control of Network Systems
    2026

2025

  1. [180]

    Active Probing with Multimodal Predictions for Motion Planning

    D. Gadginmath, F. Nawaz, M. Sung, F. M. Tariq, S. Bae, D. Isele, F. Pasqualetti, J. D’sa
    IEEE/RSJ International Conference on Intelligent Robots and Systems, Hangzhou, China
    2025
  2. [179]

    Charge-density-wave quantum oscillator networks for solving combinatorial optimization problems

    J. O. Brown, T. Guo, F. Pasqualetti, A. A. Balandin
    Physical Review Applied
    2025
  3. [178]

    Controllable Neural Architectures for Multi-Task Control

    U. Casti, G. Baggio, S. Zampieri, F. Pasqualetti
    European Control Conference, Thessaloniki, Greece
    2025
  4. [177]

    Dynamics-aware Diffusion Models for Planning and Control

    D. Gadginmath, F. Pasqualetti
    IEEE Conf. on Decision and Control, Rio de Janeiro, Brazil
    2025
  5. [176]

    Fusing Multiple Algorithms for Heterogeneous Online Learning

    D. Gadginmath, S. Tripathi, F. Pasqualetti
    American Control Conference, Denver, CO, USA
    2025
  6. [175]

    Geometric SSM: LTI State Space Models for Selective Tasks

    U. Casti, G. Baggio, S. Zampieri, F. Pasqualetti
    arXiv preprint
    2025
  7. [174]

    Global Optimization Through Heterogeneous Oscillator Ising Machines

    A. Allibhoy, A. N. Montanari, F. Pasqualetti, A. E. Motter
    IEEE Conf. on Decision and Control, Rio de Janeiro, Brazil
    2025
  8. [173]

    Online Optimization with Unknown Time-varying Parameters

    S. Tripathi, A. A. Al Makdah, F. Pasqualetti
    IEEE Control Systems Letters
    2025
  9. [172]

    Oscillatory Associative Memory with Exponential Capacity

    T. Guo, A. Ogranovich, A. R. Venkatakrishnan, M. R. Shapiro, F. Bullo, F. Pasqualetti
    IEEE Conf. on Decision and Control, Rio de Janeiro, Brazil
    2025
  10. [171]

    Theories and Algorithms for Reliable Multi-Agent Systems

    A. A. Al Makdah, F. Pasqualetti
    Encyclopedia of Systems and Control Engineering
    2025

2024

  1. [170]

    A Data-driven Stability Test for LTI systems

    T. Guo, A. A. Al Makdah, P. Tesi, F. Pasqualetti
    IEEE Conf. on Decision and Control, Milan, Italy
    2024
  2. [169]

    A network control theory pipeline for studying the dynamics of the structural connectome

    L. Parkes, J. Kim, J. Stiso, J. Brynildsen, M. Cieslak, S. Covitz, R. Gur, R. Gur, F. Pasqualetti, R. Shinohara, D. Zhou, T. Satterthwaite, D. S. Bassett
    Nature Protocols
    2024
  3. [168]

    A Score-based Deterministic Diffusion Algorithm with Smooth Scores for General Distributions

    K. Elamvazhuthi, X. Zhang, S. Oymak, F. Pasqualetti
    AAAI Conference on Artificial Intelligence, Washington, DC
    2024
  4. [167]

    Analytical Characterization of Epileptic Dynamics in a Bistable System

    Y. Qin, A. El-Gazzar, D. S. Bassett, F. Pasqualetti, M. van Gerven
    IEEE Conf. on Decision and Control, Milan, Italy
    2024
  5. [166]

    Astrocytes as a mechanism for contextually-guided network dynamics and function

    L. Gong, F. Pasqualetti, T. Papouin, S. Ching
    PLoS Computational Biology
    2024
  6. [165]

    Data-driven Expressions for the Control of Network Systems with Asynchronous Experiments

    S. Cianchi, F. Celi, P. Tesi, F. Pasqualetti
    IEEE Conf. on Decision and Control, Milan, Italy
    2024
  7. [164]

    Data-Driven Feedback Linearization using the Koopman Generator

    D. Gadginmath, V. Krishnan, F. Pasqualetti
    IEEE Transactions on Automatic Control
    2024
  8. [163]

    Denoising Diffusion-Based Control of Nonlinear Systems

    K. Elamvazhuthi, D. Gadginmath, F. Pasqualetti
    IEEE Conf. on Decision and Control, Milan, Italy
    2024
  9. [162]

    Model-based and Data-based Dynamic Output Feedback for Externally Positive Systems

    A. A. Al Makdah, F. Pasqualetti
    IEEE Conf. on Decision and Control, Milan, Italy
    2024
  10. [161]

    Navigation Systems May Deteriorate Stability in Traffic Networks

    G. Bianchin, F. Pasqualetti
    IEEE Open Journal of Control Systems
    2024
  11. [160]

    Predicting AI Agent Behavior through Approximation of the Perron-Frobenius Operator

    S. Zhang, D. Gadginmath, F. Pasqualetti
    Advances in Neural Information Processing Systems, Vancouver, Canada
    2024
  12. [159]

    Prediction for Dynamical Systems via Transfer Learning

    Z. Du, S. Oymak, F. Pasqualetti
    IEEE Conf. on Decision and Control, Milan, Italy
    2024

2023

  1. [158]

    Closed-form and robust expressions for data-driven LQ control

    F. Celi, G. Baggio, F. Pasqualetti
    Annual Reviews in Control
    2023
  2. [157]

    Data-driven Eigenstructure Assignment for Sparse Feedback Design

    F. Celi, G. Baggio, F. Pasqualetti
    IEEE Conf. on Decision and Control, Marina Bay Sands, Singapore
    2023
  3. [156]

    Data-Driven Feedback Linearization with Complete Dictionaries

    C. De Persis, D. Gadginmath, F. Pasqualetti, P. Tesi
    IEEE Conf. on Decision and Control, Marina Bay Sands, Singapore
    2023
  4. [155]

    Distributed Data-Driven Control of Network Systems

    F. Celi, G. Baggio, F. Pasqualetti
    IEEE Open Journal of Control Systems
    2023
  5. [154]

    Imitation and Transfer Learning for LQG Control

    T. Guo, A. A. Al Makdah, V. Krishnan, F. Pasqualetti
    IEEE Control Systems Letters
    2023
  6. [153]

    Learning on Manifolds: Universal Approximations Properties using Geometric Controllability Conditions for Neural ODEs

    K. Elamvazhuthi, X. Zhang, S. Oymak, F. Pasqualetti
    Learning for Dynamics & Control, Philadelphia, PA, USA
    2023
  7. [152]

    Multi-Task System Identification of Similar Linear Time-Invariant Dynamical Systems

    Y. Chen, A. M. Ospina, F. Pasqualetti, E. Dall'Anese
    IEEE Conf. on Decision and Control, Marina Bay Sands, Singapore
    2023
  8. [151]

    Neuroengineering

    T. Menara, T. O'Leary, F. Pasqualetti, S. Sarma, R. Sepulchre
    Control for Societal-Scale Challenges: Road Map 2030
    2023
  9. [150]

    Noise in the reverse process improves the approximation capabilities of diffusion models

    K. Elamvazhuthi, S. Oymak, F. Pasqualetti
    ArXiv
    2023
  10. [149]

    On the Sample Complexity of the Linear Quadratic Gaussian Regulator

    A. A. Al Makdah, F. Pasqualetti
    IEEE Conf. on Decision and Control, Marina Bay Sands, Singapore
    2023
  11. [148]

    Robustness of Synchronization with Heterogeneous Self-dynamics and Interactions

    S. Rakshit, F. Pasqualetti
    IEEE Control Systems Letters
    2023
  12. [147]

    Stochastic Contextual Bandits with Long Horizon Rewards

    Y. Qin, Y. Li, F. Pasqualetti, M. Fazel, S. Oymak
    AAAI Conference on Artificial Intelligence, Washington, DC
    2023
  13. [146]

    Vibrational Stabilization of Cluster Synchronization in Oscillator Networks

    Y. Qin, A. M. Nobili, D. S. Bassett, F. Pasqualetti
    IEEE Open Journal of Control Systems
    2023
  14. [145]

    Vibrational Stabilization of Complex Network Systems

    A. M. Nobili, Y. Qin, C. A. Avizzano, D. S. Bassett, F. Pasqualetti
    American Control Conference, San Diego, CA
    2023

2022

  1. [144]

    Behavioral Feedback for Optimal LQG Control

    A. A. Al Makdah, V. Krishnan, V. Katewa, F. Pasqualetti
    IEEE Conf. on Decision and Control, Cancún, Mexico
    2022
  2. [143]

    Closed-form Estimates of the LQR Gain From Finite Data

    F. Celi, G. Baggio, F. Pasqualetti
    IEEE Conf. on Decision and Control, Cancún, Mexico
    2022
  3. [142]

    Data-driven Meets Geometric Control: Zero Dynamics, Subspace Stabilization, and Malicious Attacks

    F. Celi, F. Pasqualetti
    IEEE Control Systems Letters
    2022
  4. [141]

    Direct vs Indirect Methods for Behavior-based Attack Detection

    D. Gadginmath, V. Krishnan, F. Pasqualetti
    IEEE Conf. on Decision and Control, Cancún, Mexico
    2022
  5. [140]

    Energy-Aware Controllability of Complex Networks

    G. Baggio, F. Pasqualetti, S. Zampieri
    Annual Review of Control, Robotics, and Autonomous Systems
    2022
  6. [139]

    Flexible Information Propagation in Oscillator Networks

    Y. Qin, D. S. Bassett, F. Pasqualetti
    IEEE Conf. on Decision and Control, Cancún, Mexico
    2022
  7. [138]

    Functional Control of Oscillator Networks

    T. Menara, G. Baggio, D. S. Bassett, F. Pasqualetti
    Nature Communications
    2022
  8. [137]

    Learning Lipschitz Feedback Policies From Expert Demonstrations: Closed-Loop Guarantees, Robustness and Generalization

    A. A. Al Makdah, V. Krishnan, F. Pasqualetti
    IEEE Open Journal of Control Systems
    2022
  9. [136]

    Multi-Agent Persistent Monitoring via Time-Inverted Kuramoto Dynamics

    M. Boldrer, F. Pasqualetti, L. Palopoli, D. Fontanelli
    IEEE Control Systems Letters
    2022
  10. [135]

    Network theoretic analysis of maximum a posteriori detectors for optimal input detection

    R. Anguluri, V. Katewa, S. Roy, F. Pasqualetti
    Automatica
    2022
  11. [134]

    Non-Stationary Representation Learning in Sequential Linear Bandits

    Y. Qin, T. Menara, S. Oymak, S. Ching, F. Pasqualetti
    IEEE Open Journal of Control Systems
    2022
  12. [133]

    Optimal Network Interventions to Control the Spreading of Oscillations

    A. Allibhoy, F. Celi, F. Pasqualetti, J. Cortés
    IEEE Open Journal of Control Systems
    2022
  13. [132]

    Parameter Conditions to Prevent Voltage Oscillations Caused by LTC-Inverter Hunting on Power Distribution Grids

    J. Swartz, F. Celi, F. Pasqualetti, A. von Meier
    European Control Conference, London, UK
    2022
  14. [131]

    Relay Interactions Enable Remote Synchronization in Networks of Phase Oscillators

    T. Menara, Y. Qin, D. S. Bassett, F. Pasqualetti
    IEEE Control Systems Letters
    2022
  15. [130]

    Representation Learning for Context-Dependent Decision-Making

    Y. Qin, T. Menara, S. Oymak, S. Ching, F. Pasqualetti
    American Control Conference, Atlanta, GA
    2022
  16. [129]

    Uncovering the biological basis of control energy: Structural and metabolic correlates of energy inefficiency in temporal lobe epilepsy

    X. He, L. Caciagli, L. Parkes, J. Stiso, T. M Karrer, J. Z. Kim, Z. Lu, T. Menara, F. Pasqualetti, M. R. Sperling, J. I. Tracy, D. S. Bassett
    Science Advances
    2022
  17. [128]

    Vibrational Control of Cluster Synchronization: Connections with Deep Brain Stimulation

    Y. Qin, D. S. Bassett, F. Pasqualetti
    IEEE Conf. on Decision and Control, Cancún, Mexico
    2022

2021

  1. [127]

    Brain network dynamics during working memory are modulated by dopamine and diminished in schizophrenia

    U. Braun, A. Harneit, G. Pergola, T. Menara, A. Schaefer, R. F. Betzel, Z. Zang, J. I. Schweiger, X. Zhang, K. Schwarz, J. Chen, G. Blasi, A. Bertolino, D. Durstewitz, F. Pasqualetti, E. Schwarz, A. Meyer-Lindenberg, D. S. Bassett, H. Tost
    Nature Communications
    2021
  2. [126]

    Brain network dynamics fingerprints are resilient to data heterogeneity

    T. Menara, G. Lisi, F. Pasqualetti, A. Cortese
    Journal of Neural Engineering
    2021
  3. [125]

    Data-Driven Attack Detection for Linear Systems

    V. Krishnan, F. Pasqualetti
    IEEE Control Systems Letters
    2021
  4. [124]

    Data-Driven Control of Complex Networks

    G. Baggio, D. S. Bassett, F. Pasqualetti
    Nature Communications
    2021
  5. [123]

    Deflection-based Attack Detection for Network Systems

    R. Anguluri, F. Pasqualetti
    American Control Conference, New Orleans, LA, USA
    2021
  6. [122]

    Detection of Attacks in Cyber-Physical Systems: Theory and Applications

    V. Katewa, C.-Z. Bai, V. Gupta, F. Pasqualetti
    Safety, security, and privacy for cyber-physical systems
    2021
  7. [121]

    Distributed Learning of Optimal Controls for Linear Systems

    F. Celi, G. Baggio, F. Pasqualetti
    IEEE Conf. on Decision and Control, Austin, TX
    2021
  8. [120]

    Linear-Threshold Dynamics for the Study of Epileptic Events

    F. Celi, A. Allibhoy, F. Pasqualetti, J. Cortés
    IEEE Control Systems Letters
    2021
  9. [119]

    Mediated Remote Synchronization of Kuramoto-Sakaguchi Oscillators: The Number of Mediators Matters

    Y. Qin, M. Cao, B. D. O. Anderson, D. S. Bassett, F. Pasqualetti
    IEEE Control Systems Letters
    2021
  10. [118]

    Minimum-gain Pole Placement with Sparse Static Feedback

    V. Katewa, F. Pasqualetti
    IEEE Transactions on Automatic Control
    2021
  11. [117]

    On a Security vs Privacy Trade-off in Interconnected Dynamical Systems

    V. Katewa, R. Anguluri, F. Pasqualetti
    Automatica
    2021
  12. [116]

    On Direct vs Indirect Data-Driven Predictive Control

    V. Krishnan, F. Pasqualetti
    IEEE Conf. on Decision and Control, Austin, TX
    2021
  13. [115]

    Optimal Dynamic Load-Altering Attacks Against Power Systems

    V. Katewa, F. Pasqualetti
    American Control Conference, New Orleans, LA, USA
    2021
  14. [114]

    Phase-Amplitude Coupling in Neuronal Oscillator Networks

    Y. Qin, T. Menara, D. S. Bassett, F. Pasqualetti
    Physical Review Research
    2021
  15. [113]

    Robust Adversarial Classification via Abstaining

    A. A. Al Makdah, V. Katewa, F. Pasqualetti
    IEEE Conf. on Decision and Control, Austin, TX
    2021
  16. [112]

    Structural underpinnings of control in multiplex networks

    P. Srivastava, P. Mucha, K. Ochsner, E. Falk, F. Pasqualetti, D. S. Bassett
    Arxiv
    2021
  17. [111]

    Time-evolving controllability of effective connectivity networks during seizure progression

    B. H. Scheid, A. Ashourvan, J. Stiso, K. A. Davis, F. Mikhail, F. Pasqualetti, B. Litt, D. S. Bassett
    Proceedings of the National Academy of Sciences
    2021
  18. [110]

    Time-Inverted Kuramoto Dynamics for $\kappa$-Clustered Circle Coverage

    M. Boldrer, F. Riz, F. Pasqualetti, L. Palopoli, D. Fontanelli
    IEEE Conf. on Decision and Control, Austin, TX
    2021

2020

  1. [109]

    A Fundamental Performance Limitation for Adversarial Classification

    A. A. Al Makdah, V. Katewa, F. Pasqualetti
    IEEE Control Systems Letters
    2020
  2. [108]

    A practical guide to methodological considerations in the controllability of structural brain networks

    T. M. Karrer, J. Z. Kim, J. Stiso, A. E. Kahn, F. Pasqualetti, U. Habel, D. S. Bassett
    Journal of Neural Engineering
    2020
  3. [107]

    Accuracy Prevents Robustness in Perception-based Control

    A. A. Al Makdah, V. Katewa, F. Pasqualetti
    American Control Conference, Denver, CO, USA · O. Hugo Schuck Best Paper Award; ACC Best Student Paper Award Finalist
    2020
  4. [106]

    Benchmarking measures of network controllability on canonical graph models

    E. Wu-Yan, R. F. Betzel, E. Tang, S. Gu, F. Pasqualetti, D. S. Bassett
    Journal of Nonlinear Science
    2020
  5. [105]

    Centralized versus Decentralized Detection of Attacks in Stochastic Interconnected Systems

    R. Anguluri, V. Katewa, F. Pasqualetti
    IEEE Transactions on Automatic Control
    2020
  6. [104]

    Conditions for Feedback Linearization of Network Systems

    T. Menara, G. Baggio, D. S. Bassett, F. Pasqualetti
    IEEE Control Systems Letters
    2020
  7. [103]

    Control of brain network dynamics across diverse scales of space and time

    E. Tang, G. L. Baum, D. R. Roalf, T. D. Satterthwaite, F. Pasqualetti, D. S. Bassett
    Physical Review E
    2020
  8. [102]

    Controllability of network systems

    F. Pasqualetti
    Encyclopedia of Systems and Control
    2020
  9. [101]

    Fragility Limits Performance in Complex Networks

    F. Pasqualetti, S. Zhao, C. Favaretto, S. Zampieri
    Scientific Reports
    2020
  10. [100]

    Gene coexpression patterns predict opiate-induced brain state transitions

    J. K. Brynildsen, K. D. Mace, E. J. Cornblath, C. Weidler, F. Pasqualetti, D. S. Bassett, J. A. Blendy
    Proceedings of the National Academy of Sciences
    2020
  11. [99]

    Gramian-Based Optimization for the Analysis and Control of Traffic Networks

    G. Bianchin, F. Pasqualetti
    IEEE Transactions on Intelligent Transportation Systems
    2020
  12. [98]

    Learning in brain-computer interface control evidenced by joint decomposition of brain and behavior

    J. Stiso, M.-C. Corsi, J. Vettel, J. Garcia, F. Pasqualetti, F. de Vico-Fallani, T. Lucas, D. S. Bassett
    Journal of Neural Engineering
    2020
  13. [97]

    Learning Minimum-Energy Controls from Heterogeneous Data

    G. Baggio, F. Pasqualetti
    American Control Conference, Denver, CO, USA
    2020
  14. [96]

    Lipschitz Bounds and Provably Robust Training by Laplacian Smoothing

    V. Krishnan, A. A. Al Makdah, F. Pasqualetti
    Advances in Neural Information Processing Systems, Vancouver, Canada
    2020
  15. [95]

    Models of communication and control for brain networks: distinctions, convergence, and future outlook

    P. Srivastava, E. Nozari, J. Z. Kim, H. Ju, D. Zhou, C. Becker, F. Pasqualetti, D. S. Bassett
    Network Neuroscience
    2020
  16. [94]

    Network-based approaches for understanding intrinsic control capacities of the human brain

    D. S. Bassett, F. Pasqualetti
    The Cognitive Neurosciences VI
    2020
  17. [93]

    On the real stability radius of sparse systems

    V. Katewa, F. Pasqualetti
    Automatica
    2020
  18. [92]

    On the Robustness of Data-Driven Controllers for Linear Systems

    R. Anguluri, A. A. Al Makdah, V. Katewa, F. Pasqualetti
    Learning for Dynamics & Control, San Francisco, CA, USA
    2020
  19. [91]

    On the Role of Cooperation in Private Multi-agent Systems

    V. Katewa, F. Pasqualetti, V. Gupta
    Privacy in Dynamical Systems
    2020
  20. [90]

    Optimization of Energy State Transition Trajectory Supports the Development of Executive Function During Youth

    Z. Cui, J. Stiso, G. L. Baum, J. Z. Kim, D. R. Roalf, R. F. Betzel, S. Gu, Z. Lu, C. H. Xia, R. Ciric, T. M. Moore, R. T. Shinohara, K. Ruparel, C. Davatzikos, F. Pasqualetti, R. E. Gur, R. C. Gur, D. S. Bassett, T. D. Satterthwaite
    eLife
    2020
  21. [89]

    Path-dependent connectivity, not modularity, consistently predicts controllability of structural brain networks

    S. P. Patankar, J. Z. Kim, F. Pasqualetti, D. S. Bassett
    Network Neuroscience
    2020
  22. [88]

    Routing Apps May Cause Oscillatory Congestions in Traffic Networks

    G. Bianchin, F. Pasqualetti
    IEEE Conf. on Decision and Control, Jeju Island, Republic of Korea
    2020
  23. [87]

    Secure Navigation of Robots in Adversarial Environments

    G. Bianchin, Y.-C. Liu, F. Pasqualetti
    IEEE Control Systems Letters
    2020
  24. [86]

    Secure Trajectory Planning Against Undetectable Spoofing Attacks

    Y-C. Liu, G. Bianchin, F. Pasqualetti
    Automatica
    2020
  25. [85]

    Stability Conditions for Cluster Synchronization in Networks of Heterogeneous Kuramoto Oscillators

    T. Menara, G. Baggio, D. S. Bassett, F. Pasqualetti
    IEEE Transactions on Control of Network Systems
    2020

2019

  1. [84]

    A Framework to Control Functional Connectivity in the Human Brain

    T. Menara, G. Baggio, D. S. Bassett, F. Pasqualetti
    IEEE Conf. on Decision and Control, Nice, France · Roberto Tempo Best CDC Paper Award
    2019
  2. [83]

    A Probabilistic Approach to Design Switching Attacks against Interconnected Systems

    R. Anguluri, V. Katewa, F. Pasqualetti
    American Control Conference, Philadelphia, PA, USA
    2019
  3. [82]

    Data-driven Minimum-Energy Controls for Linear Systems

    G. Baggio, V. Katewa, F. Pasqualetti
    IEEE Control Systems Letters · Control Systems Letters Outstanding Paper Award
    2019
  4. [81]

    Exact and Approximate Stability Conditions for Cluster Synchronization of Kuramoto Oscillators

    T. Menara, G. Baggio, D. S. Bassett, F. Pasqualetti
    American Control Conference, Philadelphia, PA, USA · ACC Best Student Paper Award
    2019
  5. [80]

    Heterogeneity of central nodes explains the benefits of time-varying control scheduling in complex dynamical networks

    E. Nozari, F. Pasqualetti, J. Cortés
    Journal of Complex Networks
    2019
  6. [79]

    Hierarchical Location Identification of Destabilizing Faults and Attacks in Power Systems: A Frequency-Domain Approach

    S. Amini, F. Pasqualetti, M. Abbaszadeh, H. Mohsenian-Rad
    IEEE Transactions on Smart Grid
    2019
  7. [78]

    Networks with Diagonal Controllability Gramians: Analysis, Graphical Conditions, and Design Algorithms

    S. Zhao, F. Pasqualetti
    Automatica
    2019
  8. [77]

    RE: Warnings and caveats in brain controllability

    F. Pasqualetti, S. Gu, D. S. Bassett
    NeuroImage
    2019
  9. [76]

    Resilience of Traffic Networks with Partially Controlled Routing

    G. Bianchin, F. Pasqualetti, S. Kundu
    American Control Conference, Philadelphia, PA, USA
    2019
  10. [75]

    Sex differences in network controllability as a predictor of executive function in youth

    E. J. Cornblath, E. Tang, G. L. Baum, T. M. Moore, A. Abedimpe, D. R. Roalf, R. C. Gur, R. E. Gur, F. Pasqualetti, T. D. Satterthwaite, D. S. Bassett
    Neuroimage
    2019
  11. [74]

    Structural Controllability of Symmetric Networks

    T. Menara, D. S. Bassett, F. Pasqualetti
    IEEE Transactions on Automatic Control
    2019
  12. [73]

    The Shannon Capacity of Linear Dynamical Networks

    G. Baggio, V. Katewa, F. Pasqualetti, S. Zampieri
    European Control Conference, Naples, Italy
    2019
  13. [72]

    White Matter Network Architecture Guides Direct Electrical Stimulation through Optimal State Transitions

    J. Stiso, A. N. Khambhati, T. Menara, A. E. Kahn, J. M. Stein, S. R. Das, R. Gorniak, J. Tracy, B. Litt, K. A. Davis, F. Pasqualetti, T. H. Lucas, D. S. Bassett
    Cell Reports
    2019

2018

  1. [71]

    A Network Optimization Framework for the Analysis and Control of Traffic Dynamics and Intersection Signaling

    G. Bianchin, F. Pasqualetti
    IEEE Conf. on Decision and Control, Miami, FL
    2018
  2. [70]

    Attack Detection in Stochastic Interconnected Systems: Centralized vs Decentralized Detectors

    R. Anguluri, V. Katewa, F. Pasqualetti
    IEEE Conf. on Decision and Control, Miami, FL
    2018
  3. [69]

    Controllability Degree of Directed Line Networks: Nodal Energy and Asymptotic Bounds

    S. Zhao, F. Pasqualetti
    European Control Conference, Limassol, Cyprus
    2018
  4. [68]

    Dynamic Load Altering Attacks Against Power System Stability: Attack Models and Protection Schemes

    S. Amini, F. Pasqualetti, H. Mohsenian-Rad
    IEEE Transactions on Smart Grid
    2018
  5. [67]

    Fragility and Controllability Tradeoff in Complex Networks

    F. Pasqualetti, C. Favaretto, S. Zhao, S. Zampieri
    American Control Conference, Milwaukee, WI, USA
    2018
  6. [66]

    On Privacy vs Cooperation in Multi-agent Systems

    V. Katewa, F. Pasqualetti, V. Gupta
    International Journal of Control
    2018
  7. [65]

    On the Role of Information Sharing in the Security of Interconnected Systems

    R. Anguluri, V. Katewa, F. Pasqualetti
    Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, Honolulu, Hi
    2018
  8. [64]

    Role of graph architecture in controlling dynamical networks with applications to neural systems

    J. Kim, J. M. Soffer, A. E. Kahn, J. M. Vettel, F. Pasqualetti, D. S. Bassett
    Nature Physics
    2018
  9. [63]

    Stealthy Attacks in Cloud-Connected (Linear-Impulsive) Systems

    A. Duz, S. Phillips, A. Fagiolini, R. G. Sanfelice, F. Pasqualetti
    American Control Conference, Milwaukee, WI, USA
    2018
  10. [62]

    The Energy Landscape of Neurophysiological Activity Implicit in Brain Network Structure

    S. Gu, M. Cieslak, B. Baird, S. F. Muldoon, S. T. Grafton, F. Pasqualetti, D. S. Bassett
    Scientific Reports
    2018
  11. [61]

    The Structured Controllability Radius of Symmetric (Brain) Networks

    T. Menara, V. Katewa, D. S. Bassett, F. Pasqualetti
    American Control Conference, Milwaukee, WI, USA
    2018
  12. [60]

    Time-Delay Attacks in Network Systems

    G. Bianchin, F. Pasqualetti
    Cyber-Physical Systems Security
    2018

2017

  1. [59]

    Autaptic Connections Shift Network Excitability and Bursting

    L. Wiles, S. Gu, F. Pasqualetti, D. S Bassett, D. F. Meaney
    Scientific Reports
    2017
  2. [58]

    Bode meets Kuramoto: Synchronized Clusters in Oscillatory Networks

    C. Favaretto, D. S. Bassett, A. Cenedese, F. Pasqualetti
    American Control Conference, Seattle, WA
    2017
  3. [57]

    Brain and cognitive reserve: Translation via network control theory

    J. D. Medaglia, F. Pasqualetti, R. H. Hamilton, S. L. Thompson-Schill, D. S. Bassett
    Neuroscience and Biobehavioral Reviews
    2017
  4. [56]

    Cluster Synchronization in Networks of Kuramoto Oscillators

    C. Favaretto, A. Cenedese, F. Pasqualetti
    IFAC World Congress, Toulouse, France
    2017
  5. [55]

    Data-injection attacks in stochastic control systems: Detectability and performance tradeoffs

    C.-Z. Bai, F. Pasqualetti, V. Gupta
    Automatica
    2017
  6. [54]

    Discrete-Time Dynamical Networks with Diagonal Controllability Gramian

    S. Zhao, F. Pasqualetti
    IFAC World Congress, Toulouse, France
    2017
  7. [53]

    Hybrid Attack Monitor Design to Detect Recurrent Attacks in a Class of Cyber-Physical Systems

    S. Phillips, A. Duz, F. Pasqualetti, R. G. Sanfelice
    IEEE Conf. on Decision and Control, Melbourne, Australia
    2017
  8. [52]

    On Kalman Filtering with Compromised Sensors: Attack Stealthiness and Performance Bounds

    C.-Z. Bai, V. Gupta, F. Pasqualetti
    IEEE Transactions on Automatic Control
    2017
  9. [51]

    On the Number of Strongly Structurally Controllable Networks

    T. Menara, G. Bianchin, M. Innocenti, F. Pasqualetti
    American Control Conference, Seattle, WA, USA
    2017
  10. [50]

    Optimal trajectories of brain state transitions

    S. Gu, R. F. Betzel, M. G. Mattar, M. Cieslak, P. R. Delio, S. T. Grafton, F. Pasqualetti, D. S. Bassett
    NeuroImage
    2017
  11. [49]

    Secure Reference-Tracking with Resource-Constrained UAVs

    A. Ganlath, R. Anguluri, V. Katewa, F. Pasqualetti
    Conference on Control Technology and Applications, Kohala Coast, Hawaii, USA
    2017
  12. [48]

    Synchronization Patterns in Networks of Kuramoto Oscillators: A Geometric Approach for Analysis and Control

    L. Tiberi, C. Favaretto, M. Innocenti, D. S. Bassett, F. Pasqualetti
    IEEE Conf. on Decision and Control, Melbourne, Australia
    2017
  13. [47]

    The Observability Radius of Networks

    G. Bianchin, P. Frasca, A. Gasparri, F. Pasqualetti
    IEEE Transactions on Automatic Control
    2017
  14. [46]

    Time-invariant versus time-varying actuator scheduling in complex networks

    E. Nozari, F. Pasqualetti, J. Cortés
    American Control Conference, Seattle, WA, USA
    2017

2016

  1. [45]

    Cognitive Control in the Controllable Connectome

    J. D. Medaglia, S. Gu, F. Pasqualetti, R. L. Ashare, C. Lerman, J. Kable, D. S. Bassett
    Arxiv
    2016
  2. [44]

    Cross-Layer Codesign for Secure Cyber-Physical Systems

    B. Zheng, P. Deng, R. Anguluri, Q. Zhu, F. Pasqualetti
    IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems
    2016
  3. [43]

    Network Composition for Optimal Disturbance Rejection

    A. Gasparri, F. Pasqualetti, R. Santini, S. Panzieri
    American Control Conference, Boston, MA
    2016
  4. [42]

    Network Invariants for Optimal Input Detection

    R. Anguluri, R. Dhal, S. Roy, F. Pasqualetti
    American Control Conference, Boston, MA
    2016
  5. [41]

    Optimally controlling the human connectome: the role of network topology

    R. F. Betzel, S. Gu, J. D. Medaglia, F. Pasqualetti, D. S. Bassett
    Scientific Reports
    2016
  6. [40]

    Periodic Coordinated Attacks Against Cyber-Physical Systems: Detectability and Performance Bounds

    R. Anguluri, V. Gupta, F. Pasqualetti
    IEEE Conf. on Decision and Control, Las Vegas, NV
    2016
  7. [39]

    Scheduling of Control Nodes for Improved Network Controllability

    Y. Zhao, F. Pasqualetti, J. Cortés
    IEEE Conf. on Decision and Control, Las Vegas, NV
    2016
  8. [38]

    Stimulation-based control of dynamic brain networks

    S. F. Muldoon, F. Pasqualetti, S. Gu, M. Cieslak, S. T. Grafton, J. M. Vettel, D. S. Bassett
    PLoS Computational Biology
    2016
  9. [37]

    The Observability Radius of Network Systems

    G. Bianchin, P. Frasca, A. Gasparri, F. Pasqualetti
    American Control Conference, Boston, MA
    2016

2015

  1. [36]

    A Divide-and-Conquer Approach to Distributed Attack Identification

    F. Pasqualetti, F. Dörfler, F. Bullo
    IEEE Conf. on Decision and Control, Osaka, Japan
    2015
  2. [35]

    Continuous Graph Partitioning for Camera Network Surveillance

    D. Borra, F. Pasqualetti, F. Bullo
    Automatica
    2015
  3. [34]

    Control-Theoretic Methods for Cyberphysical Security: Geometric Principles for Optimal Cross-Layer Resilient Control Systems

    F. Pasqualetti, F. Dörfler, F. Bullo
    IEEE Control Systems Magazine
    2015
  4. [33]

    Controllability of structural brain networks

    S. Gu, F. Pasqualetti, M. Cieslak, Q. K. Telesford, B. Y. Alfred, A. E. Kahn, J. D. Medaglia, J. M. Vettel, M. B. Miller, S. T. Grafton, D. S. Bassett
    Nature Communications
    2015
  5. [32]

    Design and Operation of Secure Cyber-Physical Systems

    F. Pasqualetti, Q. Zhu
    Embedded Systems Letters
    2015
  6. [31]

    Detecting dynamic load altering attacks: A data-driven time-frequency analysis

    S. Amini, F. Pasqualetti, H. Mohsenian-Rad
    IEEE Int. Conf. on Smart Grid Communications, Miami, FL
    2015
  7. [30]

    Dynamic Load Altering Attacks in Smart Grid

    S. Amini, H. Mohsenian-Rad, F. Pasqualetti
    IEEE PES Conf. on Innovative Smart Grid Technologies, Washington, DC
    2015
  8. [29]

    Security in stochastic control systems: Fundamental limitations and performance bounds

    C.-Z. Bai, F. Pasqualetti, V. Gupta
    American Control Conference, Chicago, Il · ACC Best Student Paper Award Finalist
    2015
  9. [28]

    The Role of Diameter in the Controllability of Complex Networks

    G. Bianchin, F. Pasqualetti, S. Zampieri
    IEEE Conf. on Decision and Control, Osaka, Japan
    2015

2014

  1. [27]

    Camera Network Coordination for Intruder Detection

    F. Pasqualetti, F. Zanella, J. R. Peters, M. Spindler, R. Carli, F. Bullo
    IEEE Transactions on Control Systems Technology
    2014
  2. [26]

    Consensus Networks over Finite Fields

    F. Pasqualetti, D. Borra, F. Bullo
    Automatica
    2014
  3. [25]

    Controllability metrics, limitations and algorithms for complex networks

    F. Pasqualetti, S. Zampieri, F. Bullo
    American Control Conference, Portland, OR
    2014
  4. [24]

    Controllability Metrics, Limitations and Algorithms for Complex Networks

    F. Pasqualetti, S. Zampieri, F. Bullo
    IEEE Transactions on Control of Network Systems · IEEE Transactions on Control of Network Systems Outstanding Paper Award
    2014
  5. [23]

    On the Controllability of Isotropic and Anisotropic Networks

    F. Pasqualetti, S. Zampieri
    IEEE Conf. on Decision and Control, Los Angeles, CA, USA
    2014

2013

  1. [22]

    Attack Detection and Identification in Cyber-Physical Systems

    F. Pasqualetti, F. Dörfler, F. Bullo
    IEEE Transactions on Automatic Control
    2013
  2. [21]

    Continuous-Time Distributed Observers with Discrete Communication

    F. Dörfler, F. Pasqualetti, F. Bullo
    IEEE Journal of Selected Topics in Signal Processing
    2013
  3. [20]

    Finite-Field Consensus

    F. Pasqualetti, D. Borra, F. Bullo
    IEEE Conf. on Decision and Control, Florence, Italy
    2013
  4. [19]

    Stochastic Surveillance Strategies for Spatial Quickest Detection

    V. Srivastava, F. Pasqualetti, F. Bullo
    International Journal of Robotics Research
    2013

2012

  1. [18]

    Consensus Computation in Unreliable Networks: A System Theoretic Approach

    F. Pasqualetti, A. Bicchi, F. Bullo
    IEEE Transactions on Automatic Control
    2012
  2. [17]

    Continuous graph partitioning for camera network surveillance

    D. Borra, F. Pasqualetti, F. Bullo
    IFAC Workshop on Distributed Estimation and Control in Networked Systems, Santa Barbara, CA
    2012
  3. [16]

    Cooperative Patrolling via Weighted Tours: Performance Analysis and Distributed Algorithms

    F. Pasqualetti, J. W. Durham, F. Bullo
    IEEE Transactions on Robotics
    2012
  4. [15]

    Cyber-physical security via geometric control: Distributed monitoring and malicious attacks

    F. Pasqualetti, F. Dörfler, F. Bullo
    IEEE Conf. on Decision and Control, Maui, HI
    2012
  5. [14]

    Distributed Estimation via Iterative Projections with Application to Power Network Monitoring

    F. Pasqualetti, R. Carli, F. Bullo
    Automatica
    2012
  6. [13]

    Distributed multi-camera synchronization for smart-intruder detection

    M. Spindler, F. Pasqualetti, F. Bullo
    American Control Conference, Montreal, Canada
    2012
  7. [12]

    On Cooperative Patrolling: Optimal Trajectories, Complexity Analysis and Approximation Algorithms

    F. Pasqualetti, A. Franchi, F. Bullo
    IEEE Transactions on Robotics
    2012
  8. [11]

    Simultaneous boundary partitioning and cameras synchronization for optimal video surveillance

    F. Zanella, F. Pasqualetti, R. Carli, F. Bullo
    IFAC Workshop on Distributed Estimation and Control in Networked Systems, Santa Barbara, CA
    2012

2011

  1. [10]

    A distributed method for state estimation and false data detection in power networks

    F. Pasqualetti, R. Carli, F. Bullo
    IEEE Int. Conf. on Smart Grid Communications, Brussels, Belgium
    2011
  2. [9]

    A graph-theoretical characterization of power network vulnerabilities

    F. Pasqualetti, A. Bicchi, F. Bullo
    American Control Conference, San Francisco, CA, USA
    2011
  3. [8]

    Cyber-physical attacks in power networks: Models, fundamental limitations and monitor design

    F. Pasqualetti, F. Dörfler, F. Bullo
    IEEE Conf. on Decision and Control and European Control Conference, Orlando, FL
    2011
  4. [7]

    Distributed detection of cyber-physical attacks in power networks: A waveform relaxation approach

    F. Dörfler, F. Pasqualetti, F. Bullo
    Allerton Conf. on Communications, Control and Computing
    2011

2010

  1. [6]

    Distributed estimation and detection under local information

    F. Pasqualetti, R. Carli, A. Bicchi, F. Bullo
    IFAC Workshop on Distributed Estimation and Control in Networked Systems, Annecy, France
    2010
  2. [5]

    Identifying cyber attacks via local model information

    F. Pasqualetti, R. Carli, A. Bicchi, F. Bullo
    IEEE Conf. on Decision and Control, Atlanta, GA
    2010
  3. [4]

    On optimal cooperative patrolling

    F. Pasqualetti, A. Franchi, F. Bullo
    IEEE Conf. on Decision and Control, Atlanta, GA
    2010

2009

  1. [3]

    On the security of linear consensus networks

    F. Pasqualetti, A. Bicchi, F. Bullo
    IEEE Conf. on Decision and Control, Shanghai, China · General Chairs' Recognition Award for Interactive Papers
    2009

2008

  1. [2]

    Steering a Leader-Follower Team Via Linear Consensus

    F. Pasqualetti, S. Martini, A. Bicchi
    Hybrid Systems: Computation and Control, Saint Louis, MO
    2008

2007

  1. [1]

    Distributed intrusion detection for secure consensus computations

    F. Pasqualetti, A. Bicchi, F. Bullo
    IEEE Conf. on Decision and Control, New Orleans, LA
    2007