Congratulations to Mingzhou Yin for winning IEEE CSS Swiss Chapter Young Author Best Journal Paper Award 2023
The jury gave the following motivation: "The paper is being recognized for making a timely contribution to address noise-corrupted datasets in data-driven modeling and control through a principled statistical approach. The paper stands out for its completeness and high-impact potential in applications including predictive control and system identification".
Mingzhou Yin, A. Iannelli, and R. Smith, “Maximum Likelihood Estimation in Data-Driven Modeling and Control,” IEEE Trans. Automat. Contr., vol. 68, no. 1, pp. 317–328, Jan. 2023, doi: 10.1109/TAC.2021.3137788.
And congratulations also to the runners up:
W. Jongeneel, T. Sutter, and D. Kuhn, “Efficient Learning of a Linear Dynamical System with Stability Guarantees,” IEEE Trans. Automat. Contr., pp. 1–15, 2022, doi: 10.1109/TAC.2022.3213770.
M. Gargiani, A. Zanelli, D. Liao-McPherson, T. H. Summers, and J. Lygeros, “Dynamic Programming Through the Lens of Semismooth Newton-Type Methods,” IEEE Control Syst. Lett., vol. 6, pp. 2996–3001, 2022, doi: 10.1109/LCSYS.2022.3181213.
The award is sponsored by MathWorks.
