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2015 Fiscal Year Final Research Report

Quantitative Supervisory Control of Discrete Event Systems and Its Applications

Research Project

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Project/Area Number 24656262
Research Category

Grant-in-Aid for Challenging Exploratory Research

Allocation TypeMulti-year Fund
Research Field Control engineering
Research InstitutionOsaka University

Principal Investigator

Ushio Toshimitsu  大阪大学, 基礎工学研究科, 教授 (30184998)

Project Period (FY) 2012-04-01 – 2016-03-31
Keywordsシステム制御 / 離散事象システム / スーパバイザ制御 / 最適制御 / 安定化 / オートマトン
Outline of Final Research Achievements

We consider discrete event systems modeled by weighted automata where costs are assigned to state transitions. We proposed a design method of an optimal supervisor by which the worst mean pay-off of controlled behaviors of the system is optimized. We proposed a design method of stabilizing controller by which the worst accumulate cost of the controlled behavior from the initial state to a target state is optimized. Moreover, we considered an optimal controller that satisfies a qualitative constraint given by a temporal logic formula.
We also proposed an approximated simulation based detection method of automation surprises observed in human-machine systems modeled by hybrid automata. We derived event triggering conditions by which controlled distributed systems are stabilized.

Free Research Field

システム理論

URL: 

Published: 2017-05-10  

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