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Paper Abstract and Keywords
Presentation 2023-03-15 14:20
Pareto-based dimensionality reduction of parameters for simple piecewise linear circuits
Ryunosuke Numata, Toshimichi Saito (HU) MSS2022-72 NLP2022-117
Abstract (in Japanese) (See Japanese page) 
(in English) This paper studies dimensionality reduction of parameters in switching power converters. In order to characterize the circuit performance, a bi-objective optimization problem is defined. The first objective characterizes stability of circuit operation and the second objective characterizes efficiency of input power for maximum power tracking. A trade-off exists between the two objectives and is represented by Pareto front. We then present a simple method of the dimensionality reduction of parameters based on approximated Pareto front. The approximation is evaluated by a modified hypervolume indicator. Applying the method to a piecewise linear model of boost converter, the two objectives are calculated exactly and the dimensionality reduction is realized effectively.
Keyword (in Japanese) (See Japanese page) 
(in English) boost converter / bi-objective optimizayion problem / dimensionality reduction of parameters / Pareto front / approximated Pareto front / hypervolume / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 436, NLP2022-117, pp. 53-57, March 2023.
Paper # NLP2022-117 
Date of Issue 2023-03-08 (MSS, NLP) 
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 MSS2022-72 NLP2022-117

Conference Information
Committee NLP MSS  
Conference Date 2023-03-15 - 2023-03-17 
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 2023-03-NLP-MSS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Pareto-based dimensionality reduction of parameters for simple piecewise linear circuits 
Sub Title (in English)  
Keyword(1) boost converter  
Keyword(2) bi-objective optimizayion problem  
Keyword(3) dimensionality reduction of parameters  
Keyword(4) Pareto front  
Keyword(5) approximated Pareto front  
Keyword(6) hypervolume  
Keyword(7)  
Keyword(8)  
1st Author's Name Ryunosuke Numata  
1st Author's Affiliation Hosei University (HU)
2nd Author's Name Toshimichi Saito  
2nd Author's Affiliation Hosei University (HU)
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Speaker Author-1 
Date Time 2023-03-15 14:20:00 
Presentation Time 20 minutes 
Registration for NLP 
Paper # MSS2022-72, NLP2022-117 
Volume (vol) vol.122 
Number (no) no.435(MSS), no.436(NLP) 
Page pp.53-57 
#Pages 5 
Date of Issue 2023-03-08 (MSS, NLP) 

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