Zobrazeno 1 - 10 of 10 pro vyhledávání: '"Ryuta MORIYASU"'
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Akademický článek
Topology optimization for shallow-flow channel design using depth-integrated model
Autor: Ryuta MORIYASU, Tadayoshi MATSUMORI, Makoto NAGAOKA
Publikováno v: Nihon Kikai Gakkai ronbunshu, Vol 83, Iss 854, Pp 17-00144-17-00144 (2017)
A topology optimization method is proposed for the design of shallow-flow channels based on quasi-three-dimensional flow models of laminar and turbulent flows. The models for laminar flow and turbulent flow are derived from the Navier-Stokes equation
Externí odkaz: https://doaj.org/article/955c77b7220446df90d3a83cb663cda8
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3
Structured Hammerstein-Wiener Model Learning for Model Predictive Control
Autor: Sho Kawaguchi, Ryuta Moriyasu, Taro Ikeda, Kenji Kashima
Publikováno v: IEEE Control Systems Letters. 6:397-402
This paper aims to improve the reliability of optimal control using models constructed by machine learning methods. Optimal control problems based on such models are generally non-convex and difficult to solve online. In this paper, we propose a mode
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec436fa6bcb923b3e53b13517066fbfd
https://doi.org/10.1109/lcsys.2021.3077201
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6
Real-time MPC Design Based on Machine Learning for a Diesel Engine Air Path System
Autor: Toshihiro Nakamura, Taro Ikeda, Akio Matsunaga, Tomohiko Jimbo, Ryuta Moriyasu, Makoto Nagaoka, Matsuei Ueda
Publikováno v: IFAC-PapersOnLine. 51:542-548
This study investigated a control design method based on machine learning to achieve non-linear model predictive control (MPC) at a low computational load. In addition, we describe examples of the application of this method to a diesel engine air pat
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c8100912534516c3b7bf56444dde06ed
https://doi.org/10.1016/j.ifacol.2018.10.119
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8
Diesel engine air path control based on neural approximation of nonlinear MPC
Autor: Ryuta Moriyasu, Akio Matsunaga, Tomohiko Jimbo, Sayaka Nojiri, Toshihiro Nakamura
Publikováno v: Control Engineering Practice. 91:104114
This paper deals with a control design problem for a diesel engine air path system that has strong nonlinearity and requires multi-input and multi-output control to satisfy requirements and constraints. We focus on a neural network based approximatio
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::eaf05ed2ce772e1d3f3bc06d951f0094
https://doi.org/10.1016/j.conengprac.2019.104114
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9
Relevance between the Bulk Density and Li+-Ion Conductivity in a Porous Electrolyte: The Case of Li[Li1/3Ti5/3]O4
Autor: Kazuhiko Mukai, Ryuta Moriyasu, Naoyoshi Nunotani
Publikováno v: ACS applied materialsinterfaces. 7(36)
The Li+-ion conductivity (σLi) in an electrolyte is an important parameter with respect to the performance of all-solid-state lithium-ion batteries (LIBs). However, little is known about how σLi in a porous electrolyte differs from that in a highly
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa892ee59a616e17de5fc8719e1d8bc4
https://pubmed.ncbi.nlm.nih.gov/26305414
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