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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLP, MSS | 2023-03-15 13:20 |
Nagasaki | (Primary: On-site, Secondary: Online) |
Global bifurcations in a two-link robot Rikiya Yamaguchi (Tokushima Univ), Yuu Miino (Naruto Univ), Daisuke Ito (Gifu Univ), Tetsushi Ueta (Tokushima Univ)  MSS2022-69 NLP2022-114 |
A two-link robot is modeled as a four-dimensional autonomous system, and its motion is chaotic. The global motion of t... [more] |
MSS2022-69 NLP2022-114 pp.37-42 |
| NLP, MSS | 2023-03-16 10:40 |
Nagasaki | (Primary: On-site, Secondary: Online) |
Takaki Kato, Keita Kiyosu (Chukyo Univ.), Yuu Miino (Naruto Univ. of Education), Hiroyuki Asahara (Okayama Univ. of Science), Takuji Kousaka (Chukyo Univ.) MSS2022-82 NLP2022-127 |
(To be available after the conference date) [more] | MSS2022-82 NLP2022-127 pp.100-103 |
| NLP | 2022-08-02 10:40 |
Online | Online | * Keita Kiyosu (Chukyo Univ.), Hiroyuk Asahara (Okayama Univ. of Sci.), Naohiko Inaba (Shonan Inst. of Tech.), Yuu Miino (Naruto Univ. Educ), Takuji Kousaka (Chukyo Univ.) NLP2022-30 |
(To be available after the conference date) [more] | NLP2022-30 pp.20-23 |
| NLP | 2019-09-23 09:50 |
Kochi | Eikokuji Campus, University of Kochi | Numerical calculation of unstable periodic points in the logistic map based on the symbolic dynamics Yuu Miino (Tokyo Univ. of Tech.), Tetsushi Ueta (Tokushima Univ.) NLP2019-36 |
In this study, we propose a numerical method to calculate unstable periodic points in the chaos of the logistic map. The... [more] | NLP2019-36 pp.11-14 |
| NLP | 2019-09-24 13:45 |
Kochi | Eikokuji Campus, University of Kochi | Recognition of a horseshoe map and its controlling chaos Shohei Miyazaki, Tetsushi Ueta (Tokushima Univ.), Yuu Miino (TUT), Hiroshi Kawakami (Tokushima Univ.) NLP2019-58 |
[more] | NLP2019-58 pp.117-122 |
| NLP | 2018-08-08 13:45 |
Kagawa | Saiwai-cho Campus, Kagawa Univ. | Bifurcations in the ship capsizing problem Yuu Miino, Tetsushi Ueta, Hiroshi Kawakami (Tokushima Univ.), Atsuo Maki, Naoya Umeda (Osaka Univ.) NLP2018-55 |
In the field of ship stability, the softening Duffing equation is used for the ship capsizing problem. However, most of ... [more] | NLP2018-55 pp.15-19 |
| NLP | 2018-08-09 12:00 |
Kagawa | Saiwai-cho Campus, Kagawa Univ. | Positional relationship between homoclinic points and unstable periodic points of the horseshoe map in Henon map Shohei Miyazaki, Yuu Miino, Tetsushi Ueta, Hiroshi Kawakami (Tokushima Univ.) NLP2018-70 |
A researcher had suggested the method to obtain the unstable periodic point (UPP) embedded in the horseshoe map by using... [more] | NLP2018-70 pp.91-96 |
| NLP | 2017-05-12 09:30 |
Okayama | Okayama University of Science | Bifurcation of a homoclinic point in a simple piecewise linear dynamical system Yuu Miino, Tetsushi Ueta, Hiroshi Kawakami (Tokushima Univ.) NLP2017-15 |
In a certain case, a piecewise linear dynamical system shows rich nonlinear phenomena. In this study, we discuss the hom... [more] | NLP2017-15 pp.73-76 |
| NLP | 2016-09-14 14:30 |
Hyogo | Konan Univ. | Nonlinear phenomena observed in the piecewise hysteresis Duffing equation Yuu Miino, Tetsushi Ueta, Hiroshi Kawakami (Tokushima Univ.) NLP2016-50 |
Hysteresis property can be modeled as a piecewise linear function with the hybrid system approach. In this study, we mod... [more] | NLP2016-50 pp.31-36 |
| NLP | 2016-05-27 09:25 |
Kochi | Kochi Univ. | Synchronized firing phenomena and bifurcation in coupled Izhikevich neuron model Yuu Miino, Tetsushi Ueta (Tokushima Univ.) NLP2016-11 |
In a coupled Izhikevich neuron model, there are some parameter regions where each neuron arises firing at the same time;... [more] | NLP2016-11 pp.51-56 |
| NLP, CAS | 2014-10-17 11:15 |
Ehime | Ehime University | Phenomena on 2-coupled neuron model with an external harmonic force Yuu Miino, Daisuke Ito, Tetsushi Ueta (Univ. of Tokushima) CAS2014-75 NLP2014-69 |
Recently, to simulate the behavior of neuron’s action, the mathematical model called neuron model is well used. There ar... [more] | CAS2014-75 NLP2014-69 pp.119-123 |
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