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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 11 of 11  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
CCS, NLP 2023-06-09
Tokyo Tokyo City Univ. A study on learning Koopman operators from synchrophasor data on distribution voltage amplitudes
Tadahiro Yano, Yoshihiko Susuki (Kyoto Univ.) NLP2023-21 CCS2023-9
In recent years, the so-called micro-Phasor Measurement Unit ($mu$PMU) has become a promising new option for managing AC... [more] NLP2023-21 CCS2023-9
NLP, MSS 2023-03-15
(Primary: On-site, Secondary: Online)
Spectral analysis of synchropahsor data in a campus distribution grid: Comparison of numerical methods
Munetaka Noguchi (Osaka Prefecture Univ.), Yoshihiko Susuki (Kyoto Univ.), Atsushi Ishigame (Osaka Metropolitan Univ.) MSS2022-64 NLP2022-109
Recently, the so-called micro-Phasor Measurement Unit (μPMU) with high-resolution capability has been expected as a new ... [more] MSS2022-64 NLP2022-109
NLP, MSS 2023-03-16
(Primary: On-site, Secondary: Online)
A Study on Properties of Koopman Eigenfunctions for a Planar Singularly-Perturbed Dynamical System
Natsuki Katayama, Yoshihiko Susuki (Kyoto Univ.) MSS2022-85 NLP2022-130
The Koopman operator is a composition operator for nonlinear dynamical systems. The eigenfunctions of the Koopman operat... [more] MSS2022-85 NLP2022-130
NLP 2022-11-25
(Primary: On-site, Secondary: Online)
A study on Participation factor for nonlinear dynamical systems based on Koopman mode decomposition
Kenji Takamichi (Osaka Prefecture Univ.), Yoshihiko Susuki (Kyoto Univ.), Marcos Netto (NREL), Atsushi Ishigame (Osaka Prefecture Univ.) NLP2022-79
The so-called participation factor analysis has been used to evaluate the relative contribution between state vari- able... [more] NLP2022-79
NLP 2022-08-02
Online Online [Invited Talk] Koopman-operator approach to dimensionality reduction of dynamical systems and applications to nonlinear rhythms
Hiroya Nakao (Tokyo Tech.) NLP2022-31
A method of dimensionality reduction for nonlinear dynamical systems via the Koopman operator theory and its application... [more] NLP2022-31
NLP, CCS 2021-06-11
Online Online A Study on Prediction of Synchrophasor Time-Series Data of In-Campus Distribution Voltage Using Gaussian Process Regression
Munetaka Noguchi (Osaka Pref Univ.), Yoshihiko Susuki (Osaka Pref Univ./JST), Atsushi Ishigame (Osaka Pref Univ.) NLP2021-3 CCS2021-3
Due to recent penetration of distributed energy resources, dynamics of power distribution systems have been complicated ... [more] NLP2021-3 CCS2021-3
IBISML 2020-10-21
Online Online IBISML2020-25 Analysis and prediction of dynamic processes using data are fundamental in a variety of scientific and industrial fields... [more] IBISML2020-25
CCS 2019-03-27
Tokyo NICT, Koganei, Tokyo [Invited Talk] Analysis and Control of Nonlinear Dynamical Systems via the Koopman Operator
Yoshihiko Susuki (Osaka Pref. Univ.) CCS2018-56
The Koopman operator is a composition operator defined for a large class of nonlinear dynamical systems.
Even if a ta... [more]
IBISML 2018-11-05
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] On comparison of dynamical systems via Perron-Frobenius operators on reproducing kernel Hilbert spaces
Isao Ishikawa (RIKEN/Keio Univ.), Keisuke Fujii (RIKEN), Masahiro Ikeda (RIKEN/Keio Univ.), Yuka Hashimoto (Keio Univ.), Yoshinobu Kawahara (Osaka Univ/RIKEN.) IBISML2018-67
The development of a metric for structural data is a long-term problem in pattern recognition and machine learning. In t... [more] IBISML2018-67
CCS, NLP 2016-06-13
Tokyo Kikai-Shinko-Kaikan Bldg. Optimal parameter selection for kernel dynamic mode decomposition
Wataru Kurebayashi (Aomori Univ.), Sho Shirasaka, Hiroya Nakao (Tokyo Tech.) NLP2016-21 CCS2016-4
A novel mode decomposition method based on the dynamical systems theory, called the dynamic mode decomposition (DMD), ha... [more] NLP2016-21 CCS2016-4
NLP 2013-12-06
Overseas City University of Hong Kong Data-Based Stability Assessment of Power Grids without Models -- Application of Koopman Operator Methods --
Yoshihiko Susuki (Kyoto Univ./JST), Igor Mezic (UCSB) NLP2013-118
We present a data-based approach to stability assessment of power systems without models. This approach is enabled by K... [more] NLP2013-118
 Results 1 - 11 of 11  /   
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