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Found 4 papers, 0 papers with code
Modal Analysis of Spatiotemporal Data via Multivariate Gaussian Process Regression
Modal analysis has become an essential tool to understand the coherent structure of complex flows.
Learning Koopman Operators with Control Using Bi-level Optimization
The accurate modeling and control of nonlinear dynamical effects are crucial for numerous robotic systems.
Modularized Bilinear Koopman Operator for Modeling and Predicting Transients of Microgrids
Modularized Koopman Bilinear Form (M-KBF) is presented to model and predict the transient dynamics of microgrids in the presence of disturbances.
PIDGeuN: Graph Neural Network-Enabled Transient Dynamics Prediction of Networked Microgrids Through Full-Field Measurement
A Physics-Informed Dynamic Graph Neural Network (PIDGeuN) is presented to accurately, efficiently and robustly predict the nonlinear transient dynamics of microgrids in the presence of disturbances.
