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Paper Abstract and Keywords
Presentation 2015-03-05 13:25
Optimal LLP supervisory control based on the learning of state transition model
Hijiri Umemoto, Tatsushi Yamasaki (Setsunan Univ.) MSS2014-92
Abstract (in Japanese) (See Japanese page) 
(in English) The authors have proposed an optimal LLP supervisory control method based on reinforcement learning for discrete event systems composed of subsystems. In this paper, we extend the previous work to estimate state transition probability model. It makes it possible to apply the method without cost information and state transition model a priori. In addition, we consider the case that the states of different subsystems change at the same time by the occurrence of an event. We also propose a method of dynamic adjustment of the number of lookahead steps in consideration of the real-time constraints of the system.
Keyword (in Japanese) (See Japanese page) 
(in English) supervisory control / discrete event system / limited lookahead policy / optimal control / reinforcement learning / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 493, MSS2014-92, pp. 7-12, March 2015.
Paper # MSS2014-92 
Date of Issue 2015-02-26 (MSS) 
ISSN Print edition: ISSN 0913-5685    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)
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Conference Information
Committee MSS  
Conference Date 2015-03-05 - 2015-03-06 
Place (in Japanese) (See Japanese page) 
Place (in English) IT Business Plaza Musashi 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MSS 
Conference Code 2015-03-MSS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Optimal LLP supervisory control based on the learning of state transition model 
Sub Title (in English)  
Keyword(1) supervisory control  
Keyword(2) discrete event system  
Keyword(3) limited lookahead policy  
Keyword(4) optimal control  
Keyword(5) reinforcement learning  
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1st Author's Name Hijiri Umemoto  
1st Author's Affiliation Setsunan University (Setsunan Univ.)
2nd Author's Name Tatsushi Yamasaki  
2nd Author's Affiliation Setsunan University (Setsunan Univ.)
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Speaker Author-1 
Date Time 2015-03-05 13:25:00 
Presentation Time 25 minutes 
Registration for MSS 
Paper # MSS2014-92 
Volume (vol) vol.114 
Number (no) no.493 
Page pp.7-12 
#Pages 6 
Date of Issue 2015-02-26 (MSS) 

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