IEEE CONTROL SYSTEM SOCIETY ROBERTO TEMPO BEST CDC PAPER AWARD
To honor Roberto Tempo’s memory, in 2018 the IEEE instituted the IEEE Control System Society Roberto Tempo Best CDC Paper Award to recognize outstanding papers presented at the IEEE Conference on Decision and Control. The prize consists in a cash award of $1,000, and a Galvanic (photo engraved) plaque for each author of the winning paper. The award is funded by an endowment jointly provided by the Control System Society and Roberto Tempo’s family and managed by the IEEE Foundation. Basis for judging are: Originality, potential impact on any aspect of control theory, technology, or implementation.
Chair of the Roberto Tempo Best CDC Paper Award Committee:
Patrizio Colaneri, Politecnico di Milano
Previous winners:
2024
“Euclidean Contractivity of Neural Networks With Symmetric Weights”
Published in Proceedings of the IEEE Conference on Decision and Control, Singapore, 2023, pp. 1724-1729
Belinda Tzen, Anant Raj, Maxim Raginsky, and Francis Bach
2023
“Subgradient-Push Is of the Optimal Convergence Rate”
Published in Proceedings of the IEEE Conference on Decision and Control, Cancun, Mexico, 2022, pp. 1307-1312
Yixuan Lin, and Ji Liu
2022
“Homogeneous Formulation of Convex Quadratic Programs for Infeasibility Detection”
60th IEEE Conference on Decision and Control, Austin, Texas, 2021, pp.968-973
Arvind U Raghunathan
2021
“Fully Distributed Nash Equilibrium Seeking Over Time-Varying Communication Networks With Linear Convergence Rate”
IEEE Control Systems Letters, vol.5, no.2, pp. 499-504. DOI:
10.1109/LCSYS.2020.3002734 (joint submission to the 59th IEEE Conference on Decision and Control, Jeju Island, South Korea, 2020)
Mattia Bianchi, and Sergio Grammatico
2020
“A Framework to Control Functional Connectivity in the Human Brain”
2019 IEEE 58th Conference on Decision and Control (CDC), Nice, France, 2019, pp. 4697-4704
Tommaso Menara, Giacomo Baggio, Danielle S. Bassett, and Fabio Pasqualetti
2019
“Sparsity-constrained Controllability Maximization with Application to Time-varying Control Node Selection”
IEEE Control Systems Letters, vol.2, no.3, pp. 321-326, July 2018
Takuya Ikeda, and Kenji Kashima
