Publications

Journals

  1. A. Mehrnoosh and G. Bianchin, “Distributed Feedback Optimization of Linear Multi-agent Systems,” arXiv preprint, mar. 2024, (arXiv:2403.18386) [arXiv] [pdf]

  2. G. Bianchin, M. Vaquero, J. Cortés and E. Dall'Anese, “Online Stochastic Optimization for Unknown Linear Systems: Data-Driven Synthesis and Controller Analysis,” IEEE Transactions on Automatic Control, jul. 2024, (Early Access) [paper] [arXiv] [pdf]

  3. 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]

  4. G. Bianchin, “Data-Driven Exact Pole Placement for Linear Systems,” arXiv preprint, mar. 2023, (arXiv:2303.11469) [arXiv] [pdf]

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

  6. 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]

  7. 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]

  8. 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]

  9. 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]

  10. 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, 2022 [paper] [arXiv] [pdf]

  11. 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]

  12. 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]

  13. 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]

  14. 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]

  15. 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]

  16. 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]

  17. 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]

  18. G. Bianchin and F. Pasqualetti, “Navigation Systems May Deteriorate Stability in Traffic Networks,” arXiv preprint, 2020, (arXiv:2003.10018) [arXiv] [pdf]

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

  20. 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]

  21. 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]

  22. 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 J.-C. Delvenne, “Cycle families and Resilience of Dynamical Networks,” in American Control Conference, ((To appear) arXiv:2303.11469) [arXiv] [pdf]

  2. 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 [paper] [arXiv] [pdf]

  3. 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]

  4. 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]

  5. 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]

  6. 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]

  7. 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]

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

  9. 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]

  10. 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]