Publications

All my publications are accessible as Open Access online resources on the UCLouvain DIAL repository.

Journals

  1. G. Bianchin and B. Van Scoy, “Feedback Optimization of Dynamical Systems in Time-Varying Environments: An Internal Model Principle Approach,” arXiv preprint, jul. 2025, (arXiv:2508.03503) [arXiv] [pdf]

  2. A. Mehrnoosh and G. Bianchin, “Optimization of Linear Multi-Agent Dynamical Systems via Feedback Distributed Gradient Descent Methods,” arXiv preprint, jul. 2025, (arXiv:2403.18386) [arXiv] [pdf]

  3. G. Bianchin, M. Vaquero, J. Cortés and E. Dall'Anese, “\(k\)-Dimensional Agreement in Multiagent Systems,” IEEE Transactions on Automatic Control, pp. 8978-08985, vol. 69, no. 12, dec. 2024 [paper] [pdf]

  4. G. Bianchin and B. Van Scoy, “The Internal Model Principle of Time-Varying Optimization,” arXiv preprint, aug. 2024, (arXiv:2407.08037) [arXiv] [pdf]

  5. G. Bianchin and F. Pasqualetti, “Navigation Systems May Deteriorate Stability in Traffic Networks,” IEEE Open Journal of Control Systems, vol. 239-252, no. 239-252, 2024, ((Early access)) [paper] [arXiv] [pdf]

  6. G. Bianchin, M. Vaquero, J. Cortés and E. Dall'Anese, “Online Stochastic Optimization for Unknown Linear Systems: Data-Driven Controller Synthesis and Analysis,” IEEE Transactions on Automatic Control, pp. 4411-4426, vol. 69, no. 7, jul. 2024, (Early Access) [paper] [arXiv] [pdf]

  7. E. Perotti, A. M. Ospina, G. Bianchin, A. Simonetto and E. Dall'Anese, “Renewable-Based Charging in Green Ride-Sharing,” Scientific Reports, vol. 15425, no. 13, sep. 2023, (arXiv:2305.02419) [paper] [arXiv] [pdf]

  8. G. Bianchin and E. Dall'Anese, “Event-Triggered Feedback Optimization of LTI Systems with Applications to Pandemic Control,” in preparation, aug. 2022 [pdf]

  9. G. Bianchin, M. Vaquero, J. Cortés and E. Dall'Anese, “\(k\)-Dimensional Agreement in Multiagent Systems for distributed coordination,” arXiv preprint, aug. 2022, (arXiv:2208.08999) [arXiv] [pdf]

  10. L. Cothren, G. Bianchin and E. Dall'Anese, “Online Optimization of Dynamical Systems With Deep Learning Perception,” IEEE Open Journal of Control Systems, pp. 306–321, vol. 1, oct. 2022 [paper] [arXiv] [pdf]

  11. F. Avram, R. Adenane, G. Bianchin and A. Halanay, “Stability Analysis of an Eight Parameter SIR-Type Model Including Loss of Immunity, and Disease and Vaccination Fatalities,” Mathematics, pp. 402, vol. 10, no. 3, 2022 [arXiv] [pdf]

  12. G. Bianchin, E. Dall'Anese, J. I. Poveda, D. Jacobson, E. J. Carlton and A. Buchwald, “Novel use of online optimization in a mathematical model of COVID-19 to guide the relaxation of pandemic mitigation measures,” Scientific Reports, vol. 4731, no. 12, mar. 2022 [paper] [arXiv] [pdf]

  13. F. Galarza-Jimenez, G. Bianchin, J. I. Poveda and E. Dall'Anese, “Online Optimization of LTI Systems Under Persistent Attacks: Stability, Tracking, and Robustness,” Nonlinear Analysis: Hybrid Systems, pp. 101152, vol. 44, may. 2022 [paper] [arXiv] [pdf]

  14. G. Bianchin, J. Cortés, J. I. Poveda and E. Dall'Anese, “Time-Varying Optimization of LTI Systems via Projected Primal-Dual Gradient Flows,” IEEE Transactions on Control of Network Systems, pp. 474–486, vol. 9, no. 1, mar. 2022 [paper] [arXiv] [pdf]

  15. G. Bianchin, J. I. Poveda and E. Dall'Anese, “Online Optimization of Switched LTI Systems Using Continuous-Time and Hybrid Accelerated Gradient Flows,” Automatica, pp. 110579, vol. 146, aug. 2022 [paper] [arXiv] [pdf]

  16. F. Avram, R. Adenane, L. Basnarkov, G. Bianchin, D. Goreac and A. Halanay, “An Age of Infection Kernel, an R Formula, and Further Results for Arino–Brauer A, B Matrix Epidemic Models with Varying Populations, Waning Immunity, and Disease and Vaccination Fatalities,” Mathematics, vol. 11, no. 6, dec. 2021 [paper] [arXiv] [pdf]

  17. K. Wood, G. Bianchin and E. Dall'Anese, “Online Projected Gradient Descent for Stochastic Optimization with Decision-Dependent Distributions,” IEEE Control Systems Letters, pp. 1646–1651, vol. 6, 2021 [paper] [arXiv] [pdf]

  18. G. Bianchin, E. Dall'Anese, J. I. Poveda and A. Buchwald, “Planning a Return to Normal after the COVID-19 Pandemic: Identifying Safe Contact Levels via Online Optimization,” medRxiv preprint, apr. 2021, (medRxiv:2021.04.20.21255350) [arXiv] [pdf]

  19. F. Galarza-Jimenez, J. I. Poveda, G. Bianchin and E. Dall'Anese, “Extremum Seeking Under Persistent Gradient Deception: A Switching Systems Approach,” IEEE Control Systems Letters, pp. 133-138, vol. 6, no. 1, 2021 [paper] [pdf]

  20. Y.-C. Liu, G. Bianchin and F. Pasqualetti, “Secure Trajectory Planning Against Undetectable Spoofing Attacks,” Automatica, pp. 108655, vol. 112, 2020 [paper] [arXiv] [pdf]

  21. G. Bianchin, Y.-C. Liu and F. Pasqualetti, “Secure Navigation of Robots in Adversarial Environments,” IEEE Control Systems Letters, pp. 1-6, vol. 4, no. 1, 2020 [paper] [pdf]

  22. G. Bianchin and F. Pasqualetti, “Gramian-Based Optimization for the Analysis and Control of Traffic Networks,” IEEE Transactions on Intelligent Transportation Systems, pp. 3013-3024, vol. 21, no. 7, 2020 [paper] [arXiv] [pdf]

  23. G. Bianchin, P. Frasca, A. Gasparri and F. Pasqualetti, “The Observability Radius of Networks,” IEEE Transactions on Automatic Control, pp. 3006-3013, vol. 62, no. 6, 2017 [paper] [arXiv] [pdf]

Conferences

  1. G. Bianchin and B. Van Scoy, “The Discrete-time Internal Model Principle of Time-varying Optimization: Limitations and Algorithm Design,” in IEEE Conf. on Decision and Control, ((Submitted)) [pdf]

  2. G. Bianchin and J.-C. Delvenne, “Cycle families and Resilience of Dynamical Networks,” in American Control Conference, pp. 5201-5206 [paper] [pdf]

  3. G. Bianchin, “Data-Driven Exact Pole Placement for Linear Systems,” in IEEE Conf. on Decision and Control, pp. 685–690 [paper] [arXiv] [pdf]

  4. L. Cothren, A. M. Ospina, G. Bianchin and E. Dall'Anese, “Online optimization of linear-time invariant dynamical systems with cost perception,” in Asilomar Conference on Signals, Systems, and Computers, pp. 1357–1361 [paper] [pdf]

  5. L. Cothren, G. Bianchin and E. Dall'Anese, “Data-enabled Gradient Flow as Feedback Controller: Regulation of Linear Dynamical Systems to Minimizers of Unknown Functions,” in Learning for Dynamics & Control, pp. 234–247 [arXiv] [pdf]

  6. G. Bianchin, M. Vaquero, J. Cortés and E. Dall'Anese, “Data-Driven Synthesis of Optimization-Based Controllers for Regulation of Unknown Linear Systems,” in IEEE Conf. on Decision and Control, pp. 5783-5788 [paper] [arXiv] [pdf]

  7. G. Bianchin and F. Pasqualetti, “Routing Apps May Cause Oscillatory Congestions in Traffic Networks,” in IEEE Conf. on Decision and Control, pp. 253-260 [paper] [pdf]

  8. G. Bianchin, F. Pasqualetti and S. Kundu, “Resilience of Traffic Networks with Partially Controlled Routing,” in American Control Conference, pp. 2670-2675 [paper] [arXiv] [pdf]

  9. G. Bianchin and F. Pasqualetti, “A Network Optimization Framework for the Analysis and Control of Traffic Dynamics and Intersection Signaling,” in IEEE Conf. on Decision and Control, pp. 1017-1022 [paper] [pdf]

  10. T. Menara, G. Bianchin, M. Innocenti and F. Pasqualetti, “On the Number of Strongly Structurally Controllable Networks,” in American Control Conference, pp. 340-345 [paper] [pdf]

  11. G. Bianchin, P. Frasca, A. Gasparri and F. Pasqualetti, “The Observability Radius of Network Systems,” in American Control Conference, pp. 185-190 [paper] [pdf]

  12. G. Bianchin, F. Pasqualetti and S. Zampieri, “The Role of Diameter in the Controllability of Complex Networks,” in IEEE Conf. on Decision and Control, pp. 980-985 [paper] [pdf]

  13. G. Bianchin, A. Cenedese, M. Luvisotto and G. Michieletto, “Distributed Fault Detection in Sensor Networks via Clustering and Consensus,” in IEEE Conf. on Decision and Control, pp. 3828-3833 [paper] [pdf]

Book Chapters

  1. G. Bianchin and F. Pasqualetti, “Time-Delay Attacks in Network Systems,” in Cyber-Physical Systems Security, pp. 157–174, Springer International Publishing, 2018 [link] [pdf]

Theses

  1. G. Bianchin. “Control-Theoretic Methods for the Robustness of Network Systems: Application to Traffic Control and Cyber-Physical Security.” PhD Dissertation, University of California Riverside, Riverside, CA, 2020 [link] [pdf]

  2. G. Bianchin. “Coordinated Control of Mixed Robot and Sensor Networks in distributed Area Exploration.” Master's Thesis, University of Padova, Padova, Italy, 2014 [link] [pdf]