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 are funded by the IEEE Control Systems Society. Presentation: At most one (1) award is presented annually at the Awards Ceremony of the IEEE Control Systems Society. 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: A nomination letter 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. Recipients 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 Paper(s) × "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 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 × Paper(s) × "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
"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
"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
"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
