Paper Abstract and Keywords |
Presentation |
2022-01-11 14:05
Design of Self-Triggered Reduced-Order Controllers of Probabilistic Boolean Networks Using Reinforcement Learning Michiaki Takizawa, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) MSS2021-37 SS2021-24 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
We consider the stabilization of Probabilistic Boolean Networks using reinforcement learning. Using reinforcement learning, complex systems such as gene regulatory networks can be controlled by a model-free method. In this paper, we consider the reduction of the number of state variables in the state feedback controller, and then consider the application of self-triggered control. We propose a method of designing a reward function for a self-triggered reduced-order controller that stabilizes the system. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
probabilistic Boolean networks / reinforcement learning / feedback stabilization / self-triggered control / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 121, no. 317, MSS2021-37, pp. 35-39, Jan. 2022. |
Paper # |
MSS2021-37 |
Date of Issue |
2022-01-04 (MSS, SS) |
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) |
Notes on Review |
This article is a technical report without peer review, and its polished version will be published elsewhere. |
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MSS2021-37 SS2021-24 |
Conference Information |
Committee |
SS MSS |
Conference Date |
2022-01-11 - 2022-01-12 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Nagasakiken-Kensetsu-Sogo-Kaikan Bldg. |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Mathematical Systems Science and its Applications, Software Science, etc. |
Paper Information |
Registration To |
MSS |
Conference Code |
2022-01-SS-MSS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Design of Self-Triggered Reduced-Order Controllers of Probabilistic Boolean Networks Using Reinforcement Learning |
Sub Title (in English) |
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Keyword(1) |
probabilistic Boolean networks |
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reinforcement learning |
Keyword(3) |
feedback stabilization |
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self-triggered control |
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1st Author's Name |
Michiaki Takizawa |
1st Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
2nd Author's Name |
Koichi Kobayashi |
2nd Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
3rd Author's Name |
Yuh Yamashita |
3rd Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
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Speaker |
Author-1 |
Date Time |
2022-01-11 14:05:00 |
Presentation Time |
25 minutes |
Registration for |
MSS |
Paper # |
MSS2021-37, SS2021-24 |
Volume (vol) |
vol.121 |
Number (no) |
no.317(MSS), no.318(SS) |
Page |
pp.35-39 |
#Pages |
5 |
Date of Issue |
2022-01-04 (MSS, SS) |
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