Presentation 2020-10-21
[招待講演]非線形ダイナミクスの作用素論的データ解析とその応用
Yoshinobu Kawahara,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) Analysis and prediction of dynamic processes using data are fundamental in a variety of scientific and industrial fields, and have been discussed actively also in machine learning. Recently, operator-theoretic analysis of nonlinear dynamical systems, in particular analysis with Koopman operator, has attracted much attention due to the generality, the connection to physical concepts, and advances of estimation methods such as dynamic mode decomposition (DMD). In this talk, I first overview the basics of this research topics, focusing on spectral analysis of dynamical systems with Koopman operator. Then, I describe several recently-proposed related algorithms based on machine learning. In the talk, I occasionally show several applications of these method to several real-world data, with a focus on the ones we have worked on.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Koopman operator / dynamic mode decomposition / nonlinear dynamical system
Paper # IBISML2020-25
Date of Issue 2020-10-13 (IBISML)

Conference Information
Committee IBISML
Conference Date 2020/10/20(3days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Organized Sessions on Frontiers of Machine Learning and General Sessions
Chair Ichiro Takeuchi(Nagoya Inst. of Tech.)
Vice Chair Masashi Sugiyama(Univ. of Tokyo) / Koji Tsuda(Univ. of Tokyo)
Secretary Masashi Sugiyama(AIST) / Koji Tsuda(NTT)
Assistant Atsuyoshi Nakamura(Hokkaido Univ.) / Shigeyuki Oba(Kyoto Univ.)

Paper Information
Registration To Technical Committee on Infomation-Based Induction Sciences and Machine Learning
Language JPN-ONLY
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English)
Sub Title (in English)
Keyword(1) Koopman operator
Keyword(2) dynamic mode decomposition
Keyword(3) nonlinear dynamical system
1st Author's Name Yoshinobu Kawahara
1st Author's Affiliation Kyushu University/RIKEN(Kyushu Univ./RIKEN)
Date 2020-10-21
Paper # IBISML2020-25
Volume (vol) vol.120
Number (no) IBISML-195
Page pp.pp.43-44(IBISML),
#Pages 2
Date of Issue 2020-10-13 (IBISML)