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| Presentation | 2023-01-29 15:30 Parametrization of balancing tasks based on state feedback control model -- Proposition of nonlinear single-degree-of-freedom model -- Hibiki Nakayama, Yuya Nakamura, Yoshikazu Yamanaka, Katsutoshi Yoshida (Utsunomiya Univ.)  NLP2022-105 NC2022-89 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | We have been researching dynamic characteristics of human behavior in balancing tasks. In our previous study, we proposed a linear single-degree-of-freedom state feedback control (SFC) model that simulates behavior of a human subject performing a balancing task. However, the proposed model is unable to reproduce a convex property of a probability density function (PDF) constructed from human-measured data. In this study, in order to reproduce such property, we propose a non-linear single-degree-of-freedom SFC model by incorporating a dead zone characteristic into the previously proposed model. The parameters of the proposed model are identified for each of four human subjects with a fitting ratio of over $99%$ as evaluated by the residual sum of squares. The identified model successfully reproduces the convex property of PDF. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Balancing tasks / Model identification / Probability density function / Particle Swarm Optimization / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 373, NLP2022-105, pp. 129-134, Jan. 2023. | |
| Paper # | NLP2022-105 | |
| Date of Issue | 2023-01-21 (NLP, NC) | |
| 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) | |
| Download PDF | NLP2022-105 NC2022-89 |
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| Conference Information | |
| Committee | NC NLP |
| Conference Date | 2023-01-28 - 2023-01-29 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Future University Hakodate |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | NC, NLP, etc. |
| Paper Information | |
| Registration To | NLP |
| Conference Code | 2023-01-NC-NLP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Parametrization of balancing tasks based on state feedback control model |
| Sub Title (in English) | Proposition of nonlinear single-degree-of-freedom model |
| Keyword(1) | Balancing tasks |
| Keyword(2) | Model identification |
| Keyword(3) | Probability density function |
| Keyword(4) | Particle Swarm Optimization |
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| 1st Author's Name | Hibiki Nakayama |
| 1st Author's Affiliation | Utsunomiya University (Utsunomiya Univ.) |
| 2nd Author's Name | Yuya Nakamura |
| 2nd Author's Affiliation | Utsunomiya University (Utsunomiya Univ.) |
| 3rd Author's Name | Yoshikazu Yamanaka |
| 3rd Author's Affiliation | Utsunomiya University (Utsunomiya Univ.) |
| 4th Author's Name | Katsutoshi Yoshida |
| 4th Author's Affiliation | Utsunomiya University (Utsunomiya Univ.) |
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| Speaker | Author-1 |
| Date Time | 2023-01-29 15:30:00 |
| Presentation Time | 25 minutes |
| Registration for | NLP |
| Paper # | NLP2022-105, NC2022-89 |
| Volume (vol) | vol.122 |
| Number (no) | no.373(NLP), no.374(NC) |
| Page | pp.129-134 |
| #Pages | 6 |
| Date of Issue | 2023-01-21 (NLP, NC) |
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