| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2018: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2017: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2016: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Outline of Final Research Achievements |
This study considers the problem of identifying dynamic network, which is large scale and complex system. The identification problem of dynamic network is treated as the identification problem of errors-in-variables models in closed-loop, and some bias-compensation based algorithms are proposed by using noise information estimation. The proposed algorithms are recursive algorithms and the effectiveness of the proposed algorithms are confirmed by numerical simulation examples.
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