| Project/Area Number |
25820182
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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 | Yamaguchi University |
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Principal Investigator |
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| Co-Investigator(Renkei-kenkyūsha) |
OGAWARA Kakuji 山口大学, 大学院理工学研究科, 教授 (70211125)
OHTA Yoshito 京都大学, 大学院情報学研究科, 教授 (30160518)
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| Project Period (FY) |
2013-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2015: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2014: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2013: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Keywords | ネットワーク化制御 / 通信 / 情報理論 / SN比 / オブザーバ / システム制御 / 性能限界解析 / 有界ノイズ / ＳＮ比 |
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| Outline of Final Research Achievements |
This research has investigated the least amount of information required to control dynamical systems. The signal-to-noise ratio (SNR) of the feedback link is evaluated based on the worst-case amplitude and minimized over all control strategies. The SNR limitation is described by the product of unstable poles of the plant. The stochastic version of the limitation is obtained using an information theoretic measure called zero-order entropy. The limitation for mean squared amplitude is also provided for SISO systems. The result is extended to control of MIMO systems over channels with feedback, and the optimal control strategy is constructed based on observers for data transmission and reception.
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