Control systems that utilize interaction with environmental fluctuation

2017 Fiscal Year Final Research Report

• Project/Area Number: 26289130
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Partial Multi-year Fund
• Section: 一般
• Research Field: Control engineering/System engineering
• Research Institution: Kyoto University
• Principal Investigator: Kashima Kenji 京都大学, 情報学研究科, 准教授 (60401551)
• Co-Investigator(Kenkyū-buntansha): 宇野 公之 大阪大学, 薬学研究科, 教授 (00183020) ; 山下 沢 武庫川女子大学, 薬学部, 准教授 (70398246) ; 辻野 博文 大阪大学, 薬学研究科, 助教 (10707144)
• Co-Investigator(Renkei-kenkyūsha): OHTA Yoshito 京都大学, 大学院情報学研究科, 教授 (30160518) ; OHKI Kentaro 京都大学, 大学院情報学研究科, 助教 (40639233) ; MASAYUKI Masayuki 大阪大学, 大学院情報学研究科, 教授 (80200301) ; KOMINAMI DAICHI 大阪大学, 大学院経済学研究科, 助教 (00709678)
• Project Period (FY): 2014-04-01 – 2018-03-31
• Keywords: 制御工学 / 情報通信工学 / 薬学 / 機械学習

Outline of Final Research Achievements

Toward better understanding of systems that utilize mutual interaction with probabilistic fluctuation, we conducted theoretical and application research on such systems. From a theoretical point of view, we clarified mathematical properties of invariant probability measure that enable quantify the positive effect of environmental fluctuation. Also, as a byproduct, a novel relationship between controllability and machine learning was revealed. For application research, the theoretical results were applied to 1. communication network design, 2. analysis of medicine metabolism mechanism, and 3. development of evaluation method for the impact of wind power fluctuation on power system quality.

Free Research Field

制御工学