Statistical modeling of engine combustion system with output uncertainty evaluation and its application to control input design

Kotaro Morikawa, Masaki Inoue, Mitsuo Muraoka, Kanako Shimojo, Eiji Hashigami, Shuichi Adachi

研究成果: Article

抄録

In this paper, we propose a modeling method for an engine combustion system by applying the approximated Gaussian process regression. We model not only the output behavior of the combustion system, but also the uncertainty evaluation for the output estimation. The experimental results show that the proposed method achieves almost the same level of modeling accuracy, while more efficiently reducing the computational cost than previous methods. Finally, we applied the constructed models and their uncertainty evaluations to control input design. For given desired outputs, we find the corresponding inputs of the engine system using the models and their uncertainty evaluations.

元の言語English
ページ(範囲)884-890
ページ数7
ジャーナルIEEJ Transactions on Industry Applications
136
発行部数11
DOI
出版物ステータスPublished - 2016

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Engines
Uncertainty
Costs

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

これを引用

Statistical modeling of engine combustion system with output uncertainty evaluation and its application to control input design. / Morikawa, Kotaro; Inoue, Masaki; Muraoka, Mitsuo; Shimojo, Kanako; Hashigami, Eiji; Adachi, Shuichi.

:: IEEJ Transactions on Industry Applications, 巻 136, 番号 11, 2016, p. 884-890.

研究成果: Article

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AU - Adachi, Shuichi

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