Home >

news Help

Publication Information


Title
Japanese:統計情報と二値変数を利用した確率最適制御手法の提案とPHVの最適なモード切替計画への適用 
English: 
Author
Japanese: 渡辺 隆之助, 吉岡 弘人, 伊吹 竜也, 坂柳 佳宏, 三平 満司.  
English: Ryunosuke Watanabe, Hiroto Yoshioka, Tatsuya Ibuki, YOSHIHIRO SAKAYANAGI, MITSUJI SAMPEI.  
Language Japanese 
Journal/Book name
Japanese:計測自動制御学会論文集 
English: 
Volume, Number, Page Vol. 55    No. 5    p. 331-341
Published date Jan. 2019 
Publisher
Japanese:計測自動制御学会 
English: 
Conference name
Japanese: 
English: 
Conference site
Japanese: 
English: 
DOI https://doi.org/10.9746/sicetr.55.331
Abstract In this paper, a novel stochastic optimal control method based on a stochastic model predictive control framework is proposed. The proposed method is formulated as mixed integer linear programming using statistical information and binary variables, which allows us to obtain the deterministic optimization problem from the stochastic optimization problem. Moreover, it does not need to assume a class of stochastic process such as white noise. This paper also shows that the present method can be applied to real stochastic systems that have only low computation specifications, through an example problem on online optimal mode management for a Plug-in Hybrid Vehicle. The usefulness of the method is demonstrated via a detailed numerical simulator named ADVISOR, and the results show that the amount of the fuel consumption is reduced and computation time is small enough for the problem.

©2007 Tokyo Institute of Technology All rights reserved.