MACS Lab Member Receives Best Student Paper in Mechatronics from ASME DSCD

We are excited to share that our recent work on system identification under number-theoretical sampling has been recognized with a prestigious award!

The paper, “A Recursive System Identification with Non-Uniform Data Under Coprime Collaborative Sensing” by Jinhua (Toby) Ouyang and Prof. Xu Chen, has been selected as one of two winners of the 2024 Best Student Paper Award in Mechatronics by the ASME Dynamic Systems and Control Division (DSCD).

This work addresses the challenge of identifying dynamic systems when the input and output are sampled at different rates—a common situation in collaborative sensing. By reparameterizing the system model using a polynomial transformation, the team created an auxiliary model identifiable from non-uniform data. The identifiability was established using a Diophantine-equation framework, and stability was shown through hyperstability theory.

📍 The award was presented at the 2025 American Control Conference (ACC) in Denver, Colorado, where Toby was honored for this achievement.

📖 Read the paper:

Ouyang, J. (Toby), & Chen, X. (2023). A Recursive System Identification with Non-Uniform Data Under Coprime Collaborative Sensing, ASME Letters in Dynamic Systems and Control, 3(2):021010. https://doi.org/10.1115/1.4063481

👏 Congratulations, Toby!