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Paper Abstract and Keywords
Presentation 2018-03-08 15:25
DNN:-MPC: A Hardware oriented Deep Neural Networks for Model Predictive Control
Kentaro Honda, Naoki Iwaya (Kyutech), Teppei Hirotsu, Toshiaki Nakamura, Tatuya Horiguchi (HITACHI), Hakaru Tamukoh (Kyutech) SIS2017-60
Abstract (in Japanese) (See Japanese page) 
(in English) Model Predictive Control (MPC) is one of the control systems, where it uses "predictive model" to control objects. However, it is difficult to formulate and create predictive models for control targets in practical. In this study, we employ Deep Neural Networks(DNNs) to generate a predictive model with using only sensor values. Due to the high computation costs of DNNs, they are time consuming. In order to realize real time processing, high speed processing is required. Therefore, to allow real time processing with low power consumption, we introduce Field Programmable Gate Arrays. This paper proposes a modified algorithm of a predictive model using DNNS for FPGA implementation.
Keyword (in Japanese) (See Japanese page) 
(in English) Deep Learning / Deep Neural Networks / Model Predictive Control / Field Programmable Gate Arrays / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 482, SIS2017-60, pp. 17-22, March 2018.
Paper # SIS2017-60 
Date of Issue 2018-03-01 (SIS) 
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)
Download PDF SIS2017-60

Conference Information
Committee SIS  
Conference Date 2018-03-08 - 2018-03-09 
Place (in Japanese) (See Japanese page) 
Place (in English) Meijo Univ. Tempaku Campus 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Soft Computing, etc. 
Paper Information
Registration To SIS 
Conference Code 2018-03-SIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) DNN:-MPC: A Hardware oriented Deep Neural Networks for Model Predictive Control 
Sub Title (in English)  
Keyword(1) Deep Learning  
Keyword(2) Deep Neural Networks  
Keyword(3) Model Predictive Control  
Keyword(4) Field Programmable Gate Arrays  
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1st Author's Name Kentaro Honda  
1st Author's Affiliation Kyushu Institute of Technology (Kyutech)
2nd Author's Name Naoki Iwaya  
2nd Author's Affiliation Kyushu Institute of Technology (Kyutech)
3rd Author's Name Teppei Hirotsu  
3rd Author's Affiliation Hitachi, Ltd., Research & Development Group (HITACHI)
4th Author's Name Toshiaki Nakamura  
4th Author's Affiliation Hitachi, Ltd., Research & Development Group (HITACHI)
5th Author's Name Tatuya Horiguchi  
5th Author's Affiliation Hitachi, Ltd., Research & Development Group (HITACHI)
6th Author's Name Hakaru Tamukoh  
6th Author's Affiliation Kyushu Institute of Technology (Kyutech)
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Speaker Author-1 
Date Time 2018-03-08 15:25:00 
Presentation Time 25 minutes 
Registration for SIS 
Paper # SIS2017-60 
Volume (vol) vol.117 
Number (no) no.482 
Page pp.17-22 
#Pages 6 
Date of Issue 2018-03-01 (SIS) 

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