4 citations · 6 across the 4 of their papers we have counts for
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eess.SY2024★ 1 cited
Learning Networked Dynamical System Models with Weak Form and Graph Neural Networks
Yin Yu, Daning Huang, Seho Park +1
This paper presents a sequence of two approaches for the data-driven control-oriented modeling of networked systems, i.e., the systems that involve many interacting dynamical compo…
eess.SY2023
Learning Koopman Operators with Control Using Bi-level Optimization
Daning Huang, Muhammad Bayu Prasetyo, Yin Yu +1
The accurate modeling and control of nonlinear dynamical effects are crucial for numerous robotic systems. The Koopman formalism emerges as a valuable tool for linear control desig…
eess.SY2022★ 4 cited
PIDGeuN: Graph Neural Network-Enabled Transient Dynamics Prediction of Networked Microgrids Through Full-Field Measurement
Yin Yu, Xinyuan Jiang, Daning Huang +1
A Physics-Informed Dynamic Graph Neural Network (PIDGeuN) is presented to accurately, efficiently and robustly predict the nonlinear transient dynamics of microgrids in the presenc…