| Budget Amount *help |
¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2013: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2012: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2011: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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| Research Abstract |
This project studies how to design high performance control systems under incom-plete observed data by exploiting stochastic optimizations and stochastic controllers. First,particle fil-ters are shown to be effective to construct system models. Then a model-based method to reconstruct the high resolution signals from the low resolution ones is given and its effectiveness is evaluated. Further-more, it is confirmed that the stochastic behaviors in control are effective to compensate the incomplete observed data through various cases including multi-agent systems and biological ones.
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