| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2014: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2013: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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| Outline of Final Research Achievements |
In this research project, we first derived a model reduction method preserving dissipativity which is stronger property than finite frequency properties. Next, we proposed a distributed approach to the proper orthogonal decomposition which is one of efficient model reduction method of large-scale systems, and theoretically guaranteed an upper bound of an approximation error. Based on this approach, we also derived a method for transient stability diagnosis of power networks. In addition to these results, we characterized finite frequency properties of multi-dimensional systems in terms of dissipation inequality, which can be regarded as an original result. Moreover, we clarified an estimation performance of a distributed Kalman filter with diffusion strategies. This can be an efficient result for a design of the filter.
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