イブキ　タツヤ   IBUKI TATSUYA   伊吹　竜也    所属   明治大学  理工学部    職種   専任准教授
言語種別	日本語
発行・発表の年月	2019/05
形態種別	学術雑誌
査読	査読あり
標題	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
執筆形態	共著(筆頭者以外)
掲載誌名	計測自動制御学会論文集
掲載区分	国内
出版社・発行元	計測自動制御学会
巻・号・頁	55(5),331-341頁
総ページ数	11
著者・共著者	渡辺隆之助，吉岡弘人，伊吹竜也，坂柳佳宏，三平満司
概要	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.