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Paper Abstract and Keywords
Presentation 2026-03-04 11:00
Robust Koopman Operator Estimation Against Impulsive Noise Using Adaptive Projected Subgradient Method
Haru Honda, Masahiro Yukawa (Keio Univ.) EA2025-141 SIP2025-161 SP2025-94
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we present a robust adaptive algorithm to estimate the Koopman operator in the presence of impulsive noise.
To obtain the robustness, the data fidelity term of the instantaneous cost function is designed as a composition of the minimax concave penalty and the distance function with respect to a certain closed halfspace.
A certain regularization term is added for solidating the robustness as well as convexifying the overall cost function.
This allows us to adopt the adaptive projected subgradient method (APSM) cite{yamada2002efficient}.
Simulation results show remarkable advantages of the proposed algorithm with respect to robustness in the task of estimating nonlinear dynamical systems in the presence of impulsive noise.
Keyword (in Japanese) (See Japanese page) 
(in English) Koopman Operator / Online learning / Nonlinear Dynamics / Robustness / Projection algorithm / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 370, SIP2025-161, pp. 396-400, March 2026.
Paper # SIP2025-161 
Date of Issue 2026-02-23 (EA, SIP, SP) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF EA2025-141 SIP2025-161 SP2025-94

Conference Information
Committee SP EA SIP IPSJ-SLP  
Conference Date 2026-03-02 - 2026-03-04 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SIP 
Conference Code 2026-03-SP-EA-SIP-SLP 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Robust Koopman Operator Estimation Against Impulsive Noise Using Adaptive Projected Subgradient Method 
Sub Title (in English)  
Keyword(1) Koopman Operator  
Keyword(2) Online learning  
Keyword(3) Nonlinear Dynamics  
Keyword(4) Robustness  
Keyword(5) Projection algorithm  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Haru Honda  
1st Author's Affiliation Keio University (Keio Univ.)
2nd Author's Name Masahiro Yukawa  
2nd Author's Affiliation Keio University (Keio Univ.)
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Speaker Author-1 
Date Time 2026-03-04 11:00:00 
Presentation Time 20 minutes 
Registration for SIP 
Paper # EA2025-141, SIP2025-161, SP2025-94 
Volume (vol) vol.125 
Number (no) no.369(EA), no.370(SIP), no.371(SP) 
Page pp.396-400 
#Pages 5 
Date of Issue 2026-02-23 (EA, SIP, SP) 

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