| Project/Area Number |
24560540
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Control engineering
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| Research Institution | Tokyo Institute of Technology |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
HATANAKA Takeshi 東京工業大学, 大学院理工学研究科, 准教授 (10452012)
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥5,460,000 (Direct Cost: ¥4,200,000、Indirect Cost: ¥1,260,000)
Fiscal Year 2014: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2013: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2012: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Keywords | 制御理論 / 協調制御 / モバイルセンサネットワーク / 意思決定 / ゲーム理論的学習 |
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| Outline of Final Research Achievements |
This project aimed at proposing (i) a novel passivity-based cooperative control scheme for human-mobile sensor networks and a novel game theoretic learning algorithm with adaptability to uncertain environment. Regarding the former issue, we succeeded in developing a novel passivity-based control architecture. Also, as an extension of the work, we presented a novel cooperative estimation algorithm, and the results were published in a premier journal of our research field. Moreover, a series of the related works were compiled into a book, and it has been recently published by Springer. In terms of the latter issue, we presented a novel payoff-based learning algorithm which ensures total optimality even under environmental uncertainties, and applied it to scenarios of environmental monitoring. These results were presented at a premier conference, and also almost accepted (with some minor revisions) for publication by a premier journal.
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