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Paper Abstract and Keywords
Presentation 2021-12-17 14:55
PSO-based Bifurcation Point Detection of Discrete-Time Dynamical System with Numerical Differentiation
Takashi Kawashita, Haruna Matsushita (kagawa Univ.), Hiroaki Kurokawa (Tokyo Univ. of Technology), Takuji Kousaka (Chukyo Univ.) NLP2021-52
Abstract (in Japanese) (See Japanese page) 
(in English) In dynamical systems, it is important to analyze bifurcation phenomena, and Particle Swarm Optimization(PSO)-based bifurcation point detection method, which does not require any gradient information and any appropriate initial value, was proposed. However, its objective function for detecting bifurcation points includes Jacobian matrix, and its partial differential are calculated by hand. Therefore, we propose to calculate the partial differential with a numerical differential. By using the numerical differential, instead of allowing for errors in the derivation, we can easily calculate the partial differential without depending on specific programming languages. Computer simulation results shows that the method using numerical differential can detect bifurcation points with the equivalent accuracy as that using formula differential.
Keyword (in Japanese) (See Japanese page) 
(in English) Bifurcation point detection / Discrete-time dynamical systems / Particle Swarm Optimization (PSO) / / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 307, NLP2021-52, pp. 44-47, Dec. 2021.
Paper # NLP2021-52 
Date of Issue 2021-12-10 (NLP) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
Copyright
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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 NLP  
Conference Date 2021-12-17 - 2021-12-18 
Place (in Japanese) (See Japanese page) 
Place (in English) J:COM Horuto Hall OITA 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NLP 
Conference Code 2021-12-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) PSO-based Bifurcation Point Detection of Discrete-Time Dynamical System with Numerical Differentiation 
Sub Title (in English)  
Keyword(1) Bifurcation point detection  
Keyword(2) Discrete-time dynamical systems  
Keyword(3) Particle Swarm Optimization (PSO)  
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1st Author's Name Takashi Kawashita  
1st Author's Affiliation Kagawa University (kagawa Univ.)
2nd Author's Name Haruna Matsushita  
2nd Author's Affiliation Kagawa University (kagawa Univ.)
3rd Author's Name Hiroaki Kurokawa  
3rd Author's Affiliation Tokyo University of Technology (Tokyo Univ. of Technology)
4th Author's Name Takuji Kousaka  
4th Author's Affiliation Chukyo University (Chukyo Univ.)
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Speaker
Date Time 2021-12-17 14:55:00 
Presentation Time 25 
Registration for NLP 
Paper # IEICE-NLP2021-52 
Volume (vol) IEICE-121 
Number (no) no.307 
Page pp.44-47 
#Pages IEICE-4 
Date of Issue IEICE-NLP-2021-12-10 


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