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| Presentation | 2020-03-10 15:45 Temporal Logic Falsification for Simulink models based on the hybrid robustness using ChainerRL Ryota Owaki, Shoji Yuen (NU)  MSS2019-67 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | We present a method of falsification for the hybrid property of Simulink model using deep reinforcement learning. This study realizes falsification based on hybrid robustness reflecting the dependence between continuous variables and discrete variables. We propose hybrid robustness reflecting discrete robustness by updating continuous variables. Reward values derived from such robustness are expected to be effective for stable convergence so that the number of simulations is reduced. This paper provides an experimental implementation of falsification using Python’s reinforcement learning library ChainerRL in Simulink. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Simulink / hybrid robustness / Falsification / Reinforcement Learning / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 470, MSS2019-67, pp. 53-58, March 2020. | |
| Paper # | MSS2019-67 | |
| Date of Issue | 2020-03-02 (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) | |
| Download PDF | MSS2019-67 |
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| Conference Information | |
| Committee | MSS NLP |
| Conference Date | 2020-03-09 - 2020-03-10 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | SICE-DES, IEICE-MSS, IEICE-NLP |
| Paper Information | |
| Registration To | MSS |
| Conference Code | 2020-03-MSS-NLP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Temporal Logic Falsification for Simulink models based on the hybrid robustness using ChainerRL |
| Sub Title (in English) | |
| Keyword(1) | Simulink |
| Keyword(2) | hybrid robustness |
| Keyword(3) | Falsification |
| Keyword(4) | Reinforcement Learning |
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| 1st Author's Name | Ryota Owaki |
| 1st Author's Affiliation | Nagoya University (NU) |
| 2nd Author's Name | Shoji Yuen |
| 2nd Author's Affiliation | Nagoya University (NU) |
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| Speaker | Author-1 |
| Date Time | 2020-03-10 15:45:00 |
| Presentation Time | 25 minutes |
| Registration for | MSS |
| Paper # | MSS2019-67 |
| Volume (vol) | vol.119 |
| Number (no) | no.470 |
| Page | pp.53-58 |
| #Pages | 6 |
| Date of Issue | 2020-03-02 (MSS) |
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