Reliable distributed control for smart society by cooperation between multiple robots and operators
| Project/Area Number |
17K14701
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Control engineering/System engineering
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| Research Institution | Osaka University |
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Principal Investigator |
Hayashi Naoki 大阪大学, 基礎工学研究科, 准教授 (80637752)
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| Project Period (FY) |
2017-04-01 – 2022-03-31
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| Project Status |
Completed (Fiscal Year 2021)
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| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2020: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2019: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2018: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2017: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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| Keywords | マルチエージェントシステム / 協調制御 / 分散最適化 / 制御工学 |
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| Outline of Final Research Achievements |
In large-scale networked systems, each device connects to other devices through interaction of the network to provide various services. Such a large-scale network system can be modeled as a multiagent system. In this research, we proposed control and optimization methods that can flexibly deal with time-varying environment. Moreover, we theoretically addressed what kind of control laws and optimization algorithms can be used to achieve a control objective and find an optimal solution in a distributed and coordinated manner.
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| Academic Significance and Societal Importance of the Research Achievements |
複雑なネットワーク化システムにおいては，ネットワークを構成する各エージェントは，予め決められたタスクをこなすだけでなく，時々刻々変化する環境にも柔軟に対処できるように行動する必要がある．また，ネットワークの規模が大規模になると，各エージェントが自律分散的に制御則や最適化アルゴリズムを実行する必要がある．本研究により，システム制御の観点から，超スマート社会において付加価値の高いサービスを継続的に創出するための制御則や最適化アルゴリズムの設計法に関する基礎理論が構築できた．
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Report
(6 results)
Research Products
(62 results)
