2 papers
eess.SY2025
Koopman Spectral Analysis and System Identification for Stochastic Dynamical Systems via Yosida Approximation of Generators
Jun Zhou, Yiming Meng, Jun Liu
System identification and Koopman spectral analysis are crucial for uncovering physical laws and understanding the long-term behaviour of stochastic dynamical systems governed by s…
eess.SY2025
Koopman Spectral Analysis from Noisy Measurements based on Bayesian Learning and Kalman Smoothing
Zhexuan Zeng, Jun Zhou, Yasen Wang +1
Koopman spectral analysis plays a crucial role in understanding and modeling nonlinear dynamical systems as it reveals key system behaviors and long-term dynamics. However, the pre…