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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
Modularized Bilinear Koopman Operator for Modeling and Predicting Transients of Microgrids
Xinyuan Jiang, Yan Li, Daning Huang
Modularized Koopman Bilinear Form (M-KBF) is presented to model and predict the transient dynamics of microgrids in the presence of disturbances. As a scalable data-driven approach…
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…