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Paper Abstract and Keywords
Presentation 2016-10-28 13:50
System identification of self-sustained oscillators based on the generalized phase model
Takayuki Sato (Aomori Univ.), Sho Shirasaka, Hiroya Nakao (Tokyo Tech.), Wataru Kurebayashi (Aomori Univ.) CAS2016-57 NLP2016-83
Abstract (in Japanese) (See Japanese page) 
(in English) A one-dimensional reduced model, called the generalized phase model [W. Kurebayashi et al., Phys. Rev. Lett., 2013], can approximate the dynamics of a nonlinear self-sustained oscillator more accurately as compared to the conventional phase model, because the generalized model theoretically takes into account the deformation of the oscillator's orbit due to largely varying inputs. However, it is not straightforward to identify the response property of the generalized model from experimental data, because what we call the sensitivity functions that characterize it are more complex than those of the conventional model. In this study, we propose a method to efficiently estimate the sensitivity functions from experimental time series data. The proposed method efficiently estimates some functions that characterize the input-dependent frequency and response property of an oscillator on the basis of a sequential bayesian estimation method, called the particle filter. We examine the validity of the proposed method through numerical experiments.
Keyword (in Japanese) (See Japanese page) 
(in English) oscillator / phase model / phase reduction method / particle filter / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 272, NLP2016-83, pp. 103-106, Oct. 2016.
Paper # NLP2016-83 
Date of Issue 2016-10-20 (CAS, NLP) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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)
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Conference Information
Committee CAS NLP  
Conference Date 2016-10-27 - 2016-10-28 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NLP 
Conference Code 2016-10-CAS-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) System identification of self-sustained oscillators based on the generalized phase model 
Sub Title (in English)  
Keyword(1) oscillator  
Keyword(2) phase model  
Keyword(3) phase reduction method  
Keyword(4) particle filter  
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1st Author's Name Takayuki Sato  
1st Author's Affiliation Aomori University (Aomori Univ.)
2nd Author's Name Sho Shirasaka  
2nd Author's Affiliation Tokyo Institute of Technology (Tokyo Tech.)
3rd Author's Name Hiroya Nakao  
3rd Author's Affiliation Tokyo Institute of Technology (Tokyo Tech.)
4th Author's Name Wataru Kurebayashi  
4th Author's Affiliation Aomori University (Aomori Univ.)
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Speaker Author-1 
Date Time 2016-10-28 13:50:00 
Presentation Time 25 minutes 
Registration for NLP 
Paper # CAS2016-57, NLP2016-83 
Volume (vol) vol.116 
Number (no) no.271(CAS), no.272(NLP) 
Page pp.103-106 
#Pages 4 
Date of Issue 2016-10-20 (CAS, NLP) 

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