| Paper Abstract and Keywords |
| Presentation |
2019-11-06 14:15
Deep Learning-Based Output Feedback Stabilization Koki Kobayashi, Masaki Ogura (NAIST), Masako Kishida (NII), Wadayama Tadashi (NITech), Kenji Sugimoto (NAIST) WBS2019-34 ITS2019-25 RCC2019-65 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In this paper, we study static output feedback stabilization problem. We specifically present a data–driven methodology for this problem by using deep learning techniques. We unfold the system signal flow to obtain a feedforward signal flow graph, which we regard as a neural network. Numerical examples are presented to show that our methodology can achieve a stabilization. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Linear systems / static output feedback / stabilization / deep learning / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 119, no. 270, RCC2019-65, pp. 59-62, Nov. 2019. |
| Paper # |
RCC2019-65 |
| Date of Issue |
2019-10-30 (WBS, ITS, RCC) |
| 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 |
WBS2019-34 ITS2019-25 RCC2019-65 |
| Conference Information |
| Committee |
RCC ITS WBS |
| Conference Date |
2019-11-06 - 2019-11-06 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Nara Institute of Science and Technology |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
ITS Communications, Reliable Communication and Control, Radar and Sensing, etc. |
| Paper Information |
| Registration To |
RCC |
| Conference Code |
2019-11-RCC-ITS-WBS |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Deep Learning-Based Output Feedback Stabilization |
| Sub Title (in English) |
|
| Keyword(1) |
Linear systems |
| Keyword(2) |
static output feedback |
| Keyword(3) |
stabilization |
| Keyword(4) |
deep learning |
| Keyword(5) |
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| 1st Author's Name |
Koki Kobayashi |
| 1st Author's Affiliation |
Nara Institute of Science and Technology (NAIST) |
| 2nd Author's Name |
Masaki Ogura |
| 2nd Author's Affiliation |
Nara Institute of Science and Technology (NAIST) |
| 3rd Author's Name |
Masako Kishida |
| 3rd Author's Affiliation |
National Institute of Informatics (NII) |
| 4th Author's Name |
Wadayama Tadashi |
| 4th Author's Affiliation |
Nagoya Institute of Technology (NITech) |
| 5th Author's Name |
Kenji Sugimoto |
| 5th Author's Affiliation |
Nara Institute of Science and Technology (NAIST) |
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| Speaker |
Author-1 |
| Date Time |
2019-11-06 14:15:00 |
| Presentation Time |
25 minutes |
| Registration for |
RCC |
| Paper # |
WBS2019-34, ITS2019-25, RCC2019-65 |
| Volume (vol) |
vol.119 |
| Number (no) |
no.268(WBS), no.269(ITS), no.270(RCC) |
| Page |
pp.59-62 |
| #Pages |
4 |
| Date of Issue |
2019-10-30 (WBS, ITS, RCC) |