Adaptive Management Systems for Control Tasks in Cyber-physical Systems
| Project/Area Number |
21560464
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Control engineering
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| Research Institution | Osaka University |
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Principal Investigator |
TOSHIMITSU Ushio 大阪大学, 大学院・基礎工学研究科, 教授 (30184998)
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| Project Period (FY) |
2009 – 2011
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| Project Status |
Completed (Fiscal Year 2011)
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| Budget Amount *help |
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2011: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2010: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2009: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Keywords | システム理論 / サイバーフィジカルシステム / 制御工学 / システム工学 / リソース配分 / 最適化 / スケジューリング / センサネットワーク / 低消費電力 / リソース管理 / 弾性アルゴリズム / QoS公平化 |
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| Research Abstract |
We proposed management methods of control tasks which are adaptive to the current environment optimally in cyber-physical systems. Using an elastic task model, we formulated a trade-off between the energy reduction in real-time computing systems and the improvement of control performances as an optimization problem. Then, we obtained an algorithm for computing its optimal solution. Next, we proposed two methods to avoid overload situations using a multi-version task model and job skipping. Finally, we designed a control task to search an optimal position on-line in a multi-agent system where each agent works cooperatively.
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Report
(4 results)
Research Products
(32 results)
