IEEE CSS Italy Chapter Best Young Author Journal Paper Award

for the paper
“Coevolutionary Dynamics of Actions and Opinions in Social Networks”
by MHassan Dehghani Aghbolagh, Mengbin Ye, Lorenzo Zino, Zhiyong Chen, Ming Cao, IEEE Transactions on Automatic Control, vol. 68, no. 12, December 2023

with the following motivation:
“For the excellent methodological contribution in the field of social network dynamics with an impact on decision-making policies.”

2024 finalist: Giacomo Baggio

for the paper:
“Controllability of Large-Scale Networks: The Control Energy Exponents” by G. Baggio and S. Zampieri, IEEE Transactions on Control of Network Systems, vol. 11, no. 2, June 2024

2024 finalist: Michelangelo Bin

for the paper:
“A Small-Gain Theory for Abstract Systems on Topological Spaces” by M. Bin and T. Parisini, IEEE Transactions on Automatic Control, vol. 68, no. 8, Aug. 2023

for the paper
“Minimax flow over acyclic networks: distributed algorithms and microgrid application”
by M. Coraggio, S. Jafarpour, F. Bullo, M. di Bernardo,
IIEEE Transactions on Control of Network Systems, vol. 10, no. 2, June 2023

with the following motivation:
“For the excellent methodological contribution in the field of MInMax flow problems and with application implications for network systems.”

2023 finalist: Giacomo Baggio

for the paper:
“Non-normality Improves Information Transmission Performance of Network Systems” by G. Baggio and S. Zampieri, IEEE Transactions on Control of Network Systems, vol. 8, no. 4, Dec. 2021

2023 finalist: Michelangelo Bin

for the paper:
“About Robustness of Control Systems Embedding an Internal Model” by M. Bin, D. Astolfi and G. Marconi, IEEE Transactions on Automatic Control, vol. 68, no. 3, Mar. 2023

for the paper
“Distributed Demand Side Management With Stochastic Wind Power Forecasting”
by P. Scarabaggio, S. Grammatico, R. Carli, M. Dotoli,
IEEE Transactions on Control Systems Technology, vol. 30, no. 1, Jan. 2022

with the following motivation:
“The paper develops an original approach to the distributed demand side management in smart grids, in which sample average approximation techniques allow to take into account uncertainty in wind power forecasting”

2022 finalist: Marco Coraggio

for the paper:
“Distributed Discontinuous Coupling for Convergence in Heterogeneous Networks” by M. Coraggio, P. De Lellis, M. di Bernardo, IEEE Control Systems Letters, vol. 5, no. 3, July 2021

2022 finalist: Michele Cucuzzella

for the paper:
“Differentiation and Passivity for Control of Brayton–Moser Systems” by K. C. Kosaraju, M. Cucuzzella, J.M.A. Scherpen, R. Pasumarthy, IEEE Transactions on Automatic Control, vol. 66, no. 3, March 2021

for the paper:
“Constraint-Coupled Distributed Optimization: a Relaxation and Duality Approach” by Ivano Notarnicola, Giuseppe Notarstefano, IEEE Transactions on Control of Network Systems, vol. 7, no. 1, 2020

with the following motivation:
“The paper proposes a novel iterative scheme for the solution of mixed-integer cooperative optimization problems, which extends the existing approaches to a distributed set-up with a time-varying communication network, so encompassing more realistic scenarios in optimal resource sharing problems.”

2021 finalist: Giacomo Baggio

for the paper:
“Stability Conditions for Cluster Synchronization in Networks of Heterogeneous Kuramoto Oscillators” by T. Menara, G. Baggio, D. S. Bassett F. Pasqualetti, IEEE Transactions on Control of Network Systems, vol. 7, no. 1, March 2020

2021 finalist: Andrea Testa

for the paper:
“Distributed Mixed-Integer Linear Programming via Cut Generation and Constraint Exchange” by A. Testa, A. Rucco and G. Notarstefano, IEEE Transactions on Automatic Control, vol. 65, no. 4, April 2020

for the paper:
“Approximate Nonlinear Regulation via Identification-Based Adaptive Internal Models” by M. Bin, P. Bernard and L. Marconi, IEEE Transactions on Automatic Control, vol. 66, no. 8, pp. 3534-3549, Aug. 2021

with the following motivation:
“The paper proposes a novel approach to adaptive output regulation for multivariable nonlinear systems, where the online adaptation of the internal model is solved as a system identification problem, thereby obtaining an original robust control solution.”

for the paper:
“A distributed iterative algorithm for multi-agent MILPs: finite-time feasibility and performance characterizations” by A.Falsone, K. Margellos, M. Prandini, IEEE Control Systems Letters, Vol. 2, no. 4, 2018

with the following motivation:
“The paper proposes an elegant solution to large-scale constraint-coupled distributed optimization problems over networks of peer-to-peer agents, exploiting an innovative use of Lagrange duality.”