Douglas-Peucker piecewise affine approximation of an optimal fuel consumption problem to apply PANOC

Hongjia Ou, Andreas Themelis, Yuno Tsuyoshi, Taketoshi Kawabe

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

抄録

In today's world where complying with the requirements of a green economy is more and more imperative for technological progress, energy and fuel-efficient navigation is a topic of primary importance in industrial engineering. In the particular case of autonomous driving and cruise control, the inherent nonlinearity and complexity of the physical dynamics result in a highly nonconvex control problem, which becomes even more challenging if one is to further account for energy saving constraints. Leveraging on recent advancements, we propose a solution based on PANOC [19], a fast optimization solver which can cope with nonconvex problems and enjoys very low computational requirements, provided that some inner subproblems can be solved at negligible effort. In order to account for this binding requirement of the algorithm, we propose a piecewise affine approximation strategy for the fuel consumption model based on the Douglas- Peucker algorithm [7]. The effectiveness of the approach is showcased with numerical simulations on a real-time adaptive cruise control problem for fuel consumption optimization.

本文言語英語
ホスト出版物のタイトルProceedings of 2022 SICE International Symposium on Control Systems, SICE ISCS 2022
出版社Institute of Electrical and Electronics Engineers Inc.
ページ34-38
ページ数5
ISBN(電子版)9784907764746
DOI
出版ステータス出版済み - 2022
イベント2022 SICE International Symposium on Control Systems, SICE ISCS 2022 - Virtual, Online, 日本
継続期間: 3月 8 20223月 10 2022

出版物シリーズ

名前Proceedings of 2022 SICE International Symposium on Control Systems, SICE ISCS 2022

会議

会議2022 SICE International Symposium on Control Systems, SICE ISCS 2022
国/地域日本
CityVirtual, Online
Period3/8/223/10/22

!!!All Science Journal Classification (ASJC) codes

  • 人工知能
  • 制御と最適化
  • コンピュータ ビジョンおよびパターン認識

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