SST/EPL Ecole polytechnique de Louvain (EPL)
SST/ICTM Institute of Information and Communication Technologies, Electronics and Applied Mathematics (ICTEAM)
SST/ICTM/INMA Pôle en ingénierie mathématique (INMA)
2026
Article de journal
Bianchin, G., Vaquero, M., Cortés, J., & Dall’Anese, E. (2026). The Role of Network Connectivity in Distributed k-Agreement Protocols. Automatica, 185(112753). https://doi.org/10.1016/j.automatica.2025.112753 (Original work published 2026)
Van Scoy, B., & Bianchin, G. (2026). Temporal Variabilities Limit Convergence Rates in Gradient-Based Online Optimization. American Control Conference. Proceedings. Submitted. (Original work published 2026)
2025
Papier de conférence
Bianchin, G., & van Scoy, B. (2025). The Discrete-time Internal Model Principle of Time-varying Optimization: Limitations and Algorithm Design. 2025 IEEE 64th Conference on Decision and Control (CDC), Rio de Janeiro, Brazil.
Mehrnoosh, A., & Bianchin, G. (2025). Optimization of Linear Multi-Agent Dynamical Systems via Feedback Distributed Gradient Descent Methods. IEEE Xplore. Published. 2025 American Control Conference (ACC), Denver, CO, USA. https://doi.org/10.23919/acc63710.2025.11107569
Mehrnoosh, A., & Bianchin, G. (2025). Optimization of Linear Multi-Agent Dynamical Systems via Feedback Distributed Gradient Descent Methods. 2025 American Control Conference (ACC). Published. 2025 American Control Conference (ACC), Denver, CO, USA. https://doi.org/10.23919/acc63710.2025.11107569 (Original work published 2025)
Article de journal
Mehrnoosh, A., Speciale, G., Brumali, R., Notarstefano, G., & Bianchin, G. (2025). ARGFree: A Randomized Gradient-Free algorithm for Aggregative Cooperative Optimization and Applications to Robotic Formation (Extended Version). IEEE Transactions on Control of Network Systems. Submitted. (Original work published 2025)
Van Scoy, B., & Bianchin, G. (2025). Feedback Optimization of Dynamical Systems in Time-Varying Environments: An Internal Model Principle Approach. IEEE Transactions on Cognitive and Developmental Systems. Submitted. https://doi.org/10.48550/arXiv.2508.03503 (Original work published 2025)
Bianchin, G., & Van Scoy, B. (2025). The Internal Model Principle of Time-Varying Optimization. IEEE Transactions on Automatic Control. Accepted/in-press. https://doi.org/10.48550/arXiv.2407.08037 (Original work published 2025)
Mehrnoosh, A., & Bianchin, G. (2025). Two-point Random Gradient-free Methods for Model-free Feedback Optimization. IFAC World Congress. Submitted. (Original work published 2025)
2024
Papier de conférence
Bianchin, G., & Delvenne, J.-C. (2024). Cycle families and Resilience of Dynamical Networks. IEEE Xplore. Published. 2024 American Control Conference (ACC), Toronto, ON, Canada. https://doi.org/10.23919/acc60939.2024.10644385
Article de journal
Bianchin, G., Vaquero, M., Cortés, J., & Dall’Anese, E. (2024). k-Dimensional Agreement in Multiagent Systems. IEEE Transactions on Automatic Control, 69(12), 8978-8985. https://doi.org/10.1109/tac.2024.3431108 (Original work published 2024)
Bianchin, G., & Pasqualetti, F. (2024). Navigation Systems May Deteriorate Stability in Traffic Networks. IEEE Open Journal of Control Systems, 3, 239-252. https://doi.org/10.1109/ojcsys.2024.3397270 (Original work published 2024)
Bianchin, G., Vaquero, M., Cortés, J., & Dall’Anese, E. (2024). Online Stochastic Optimization for Unknown Linear Systems: Data-Driven Controller Synthesis and Analysis. IEEE Transactions on Automatic Control, 69(7), 4411-4426. https://doi.org/10.1109/tac.2023.3323581 (Original work published 2024)
2023
Article de journal
Perotti, E., Ospina, A. M., Bianchin, G., Simonetto, A., & Dall’Anese, E. (2023). Renewable-based charging in green ride-sharing. Scientific Reports, 13(1), 13. https://doi.org/10.1038/s41598-023-42042-z (Original work published 2023)
Avram, F., Adenane, R., Basnarkov, L., Bianchin, G., Goreac, D., & Halanay, A. (2023). 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, 11(6), 1307. https://doi.org/10.3390/math11061307 (Original work published 2023)
Papier de conférence
Bianchin, G. (2023). Data-Driven Exact Pole Placement for Linear Systems. IEEE Xplore. Published. 2023 62nd IEEE Conference on Decision and Control (CDC), Singapore, Singapore. https://doi.org/10.1109/CDC49753.2023.10384008
2022
Papier de conférence
Cothren, L., Ospina, A. M., Bianchin, G., & Dall’Anese, E. (2022). Online Optimization of Linear-Time Invariant Dynamical Systems with Cost Perception. IEEE Xplore. Published. 2022 56th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA. https://doi.org/10.1109/ieeeconf56349.2022.10052021
Article de journal
Bianchin, G., Dall’Anese, E., Poveda, J. I., Jacobson, D., Carlton, E. J., & Buchwald, A. G. (2022). Novel use of online optimization in a mathematical model of COVID-19 to guide the relaxation of pandemic mitigation measures. Scientific Reports, 12(1). https://doi.org/10.1038/s41598-022-08389-5 (Original work published 2022)
Galarza-Jimenez, F., Bianchin, G., Poveda, J. I., & Dall’Anese, E. (2022). Online optimization of LTI systems under persistent attacks: Stability, tracking, and robustness. Nonlinear Analysis: Hybrid Systems, 44, 101152. https://doi.org/10.1016/j.nahs.2022.101152 (Original work published 2022)
Avram, F., Adenane, R., Bianchin, G., & Halanay, A. (2022). Stability Analysis of an Eight Parameter SIR-Type Model Including Loss of Immunity, and Disease and Vaccination Fatalities. Mathematics, 10(3), 402. https://doi.org/10.3390/math10030402 (Original work published 2022)
Bianchin, G., Poveda, J. I., & Dall’Anese, E. (2022). Online optimization of switched LTI systems using continuous-time and hybrid accelerated gradient flows. Automatica, 146, 110579. https://doi.org/10.1016/j.automatica.2022.110579 (Original work published 2022)
Cothren, L., Bianchin, G., & Dall’Anese, E. (2022). Online Optimization of Dynamical Systems With Deep Learning Perception. IEEE Open Journal of Control Systems, 1, 306-321. https://doi.org/10.1109/ojcsys.2022.3205871 (Original work published 2022)
Galarza-Jimenez, F., Poveda, J. I., Bianchin, G., & Dall’Anese, E. (2022). Extremum Seeking Under Persistent Gradient Deception: A Switching Systems Approach. IEEE Control Systems Letters, 6, 133-138. https://doi.org/10.1109/lcsys.2021.3050451 (Original work published 2022)
Wood, K., Bianchin, G., & Dall’Anese, E. (2022). Online Projected Gradient Descent for Stochastic Optimization With Decision-Dependent Distributions. IEEE Control Systems Letters, 6, 1646-1651. https://doi.org/10.1109/lcsys.2021.3124187 (Original work published 2022)
Bianchin, G., Cortes, J., Poveda, J. I., & Dall’Anese, E. (2022). Time-Varying Optimization of LTI Systems Via Projected Primal-Dual Gradient Flows. IEEE Transactions on Control of Network Systems, 9(1), 474-486. https://doi.org/10.1109/tcns.2021.3112762 (Original work published 2022)
2021
Papier de conférence
Bianchin, G., Vaquero, M., Cortes, J., & Dall’Anese, E. (2021). Data-Driven Synthesis of Optimization-Based Controllers for Regulation of Unknown Linear Systems. IEEE Xplore. Published. 2021 60th IEEE Conference on Decision and Control (CDC), Austin, TX, USA. https://doi.org/10.1109/cdc45484.2021.9682795
2020
Article de journal
Bianchin, G., & Pasqualetti, F. (2020). Gramian-Based Optimization for the Analysis and Control of Traffic Networks. IEEE Transactions on Intelligent Transportation Systems, 21(7), 3013-3024. https://doi.org/10.1109/tits.2019.2922900 (Original work published 2020)
Liu, Y.-C., Bianchin, G., & Pasqualetti, F. (2020). Secure trajectory planning against undetectable spoofing attacks. Automatica, 112, 108655. https://doi.org/10.1016/j.automatica.2019.108655 (Original work published 2020)
Bianchin, G., Liu, Y.-C., & Pasqualetti, F. (2020). Secure Navigation of Robots in Adversarial Environments. IEEE Control Systems Letters, 4(1), 1-6. https://doi.org/10.1109/lcsys.2019.2921753 (Original work published 2020)
Bianchin, G., & Pasqualetti, F. (2020). Routing Apps May Cause Oscillatory Congestions in Traffic Networks. IEEE Open Journal of Control Systems. Published. https://doi.org/10.1109/cdc42340.2020.9303866 (Original work published 2020)
Papier de conférence
Bianchin, G., & Pasqualetti, F. (2020). Routing Apps May Cause Oscillatory Congestions in Traffic Networks. 2020 59th IEEE Conference on Decision and Control (CDC), Jeju, Korea (South).
2019
Papier de conférence
Bianchin, G., Pasqualetti, F., & Kundu, S. (2019). Resilience of Traffic Networks with Partially Controlled Routing. IEEE Xplore. Published. 2019 American Control Conference (ACC), Philadelphia, PA, USA. https://doi.org/10.23919/acc.2019.8815259
Bianchin, G., Pasqualetti, F., & Kundu, S. (2019). Resilience of Traffic Networks with Partially Controlled Routing. IEEE Xplore. Published. 2019 American Control Conference (ACC), Philadelphia, PA, USA. https://doi.org/10.23919/acc.2019.8815259
2018
Papier de conférence
Bianchin, G., & Pasqualetti, F. (2018). A Network Optimization Framework for the Analysis and Control of Traffic Dynamics and Intersection Signaling. IEEE Xplore. Published. 2018 IEEE Conference on Decision and Control (CDC), Miami Beach, FL. https://doi.org/10.1109/cdc.2018.8619320
Chapitre de livre
Bianchin, G., & Pasqualetti, F. (2018). Time-Delay Attacks in Network Systems. In Koç, Ç.K. (ed.), Cyber-physical systems security. Springer. https://doi.org/10.1007/978-3-319-98935-8_8
2017
Papier de conférence
Menara, T., Bianchin, G., Innocenti, M., & Pasqualetti, F. (2017). On the number of strongly structurally controllable networks. IEEE Xplore. Published. 2017 American Control Conference (ACC), Seattle, WA, USA. https://doi.org/10.23919/acc.2017.7962976
Article de journal
Bianchin, G., Frasca, P., Gasparri, A., & Pasqualetti, F. (2017). The Observability Radius of Networks. IEEE Transactions on Automatic Control, 62(6), 3006-3013. https://doi.org/10.1109/tac.2016.2608941 (Original work published 2017)
2016
Papier de conférence
Bianchin, G., Frasca, P., Gasparri, A., & Pasqualetti, F. (2016). The observability radius of network systems. IEEE Xplore. Published. 2016 American Control Conference (ACC), Boston, MA, USA. https://doi.org/10.1109/acc.2016.7524913
2015
Papier de conférence
Bianchin, G., Cenedese, A., Luvisotto, M., & Michieletto, G. (2015). Distributed fault detection in sensor networks via clustering and consensus. IEEE Xplore. Published. 2015 54th IEEE Conference on Decision and Control (CDC), Osaka. https://doi.org/10.1109/cdc.2015.7402814
Chapitre de livre
Bianchin, G., Pasqualetti, F., & Zampieri, S. (2015). The role of diameter in the controllability of complex networks. In IEEE Conference on Decision and Control (ed.), 54th IEEE Conference on Decision and Control (CDC). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/cdc.2015.7402000