4 citations · 11 across the 4 of their papers we have counts for
6 papers
A mode-in-state contribution factor based on Koopman operator and its application to power system analysis
Kenji Takamichi, Yoshihiko Susuki, Marcos Netto +1
This paper proposes a mode-in-state contribution factor for a class of nonlinear dynamical systems by utilizing spectral properties of the Koopman operator and sensitivity analysis…
Koopman Mode Decomposition of Oscillatory Temperature Field inside a Room
Naoto Hiramatsu, Yoshihiko Susuki, Atsushi Ishigame
Koopman mode decomposition (KMD) is a technique of nonlinear time-series analysis capable of decomposing data on complex spatio temporal dynamics into multiple modes oscillating wi…
On analytical construction of observable functions in extended dynamic mode decomposition for nonlinear estimation and prediction
Marcos Netto, Yoshihiko Susuki, Venkat Krishnan +1
We propose an analytical construction of observable functions in the extended dynamic mode decomposition (EDMD) algorithm. EDMD is a numerical method for approximating the spectral…
Application of Gaussian Process Regression to Koopman Mode Decomposition for Noisy Dynamic Data
Akitoshi Masuda, Yoshihiko Susuki, Manel Martínez-Ramón +2
Koopman Mode Decomposition (KMD) is a technique of nonlinear time-series analysis that originates from point spectrum of the Koopman operator defined for an underlying nonlinear dy…
Power grid transient stabilization using Koopman model predictive control
Milan Korda, Yoshihiko Susuki, Igor Mezić
This work addresses the problem of transient stabilization of a power grid, following a destabilizing disturbance. The model considered is the cascade interconnection of seven New…
On the Spectral Equivalence of Koopman Operators through Delay Embedding
Yoshihiko Susuki, Kyoichi Sako, Takashi Hikihara
We provide one theorem of spectral equivalence of Koopman operators of an original dynamical system and its reconstructed one through the delay-embedding technique. The theorem is…