The Tempo Award will be given for the best paper (as judged by the Tempo Award Committee) presented at the annual IEEE Conference on Decision and Control. The award is named to honor Roberto Tempo to honor his intellectual contributions and life of service. He was the 44th President of the IEEE Control Systems Society. Historical Background: Established in 2017; Revised 2019. Prize: The award consists of a Certificate laminated on a plaque (one for each author) and a cash award in the amount of $1,000 to be divided among the authors. Funding: The cash award is funded by an endowment jointly provided by the IEEE Control Systems Society and Roberto Tempo’s family, and managed by the IEEE Foundation. The plaques will be funded by the IEEE Control Systems Society. Presentation: At most one (1) award is presented annually at the Awards Ceremony of the CSS. Basis for Judging: Originality, potential impact on any aspect of control theory, technology, or implementation, and the clarity of the writing. Eligibility: Authors of papers presented at the IEEE Conference on Decision and Control the year before the presentation of the award. Nomination Details: Nomination forms and reference letters describing the excellence of the nominated paper should be submitted on the IEEE Control Systems Society Awards nomination system, http://awards.paperplaza.net/ by May 15 of the year following the presentation of the paper at the conference. Nominations comprised of a completed nomination form and letters in support of the nomination from up to four people. Submissions may be made according to the Nomination Instructions below, or more simply by appending the support letters to the nomination form to be submitted as a single pdf. Nomination Form Nomination Instructions 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 Acceptance Speech × 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 Acceptance Speech × 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 Acceptance Speech × 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, 2021. 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 Acceptance Speech × 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 Acceptance Speech Acceptance Speech × Video Link 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 Acceptance Speech ×
"Euclidean Contractivity of Neural Networks With Symmetric Weights" Published in Proceedings of the IEEE Conference on Decision and Control, Singapore, 2023, pp. 1724-1729
"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
"Homogeneous Formulation of Convex Quadratic Programs for Infeasibility Detection" 60th IEEE Conference on Decision and Control, Austin, Texas, 2021, pp. 968-973
"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, 2021. DOI: 10.1109/LCSYS.2020.3002734 (joint submission to the 59th IEEE Conference on Decision and Control, Jeju Island, South Korea, 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
"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
