| Budget Amount *help |
¥14,300,000 (Direct Cost: ¥11,000,000、Indirect Cost: ¥3,300,000)
Fiscal Year 2019: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2018: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2017: ¥5,850,000 (Direct Cost: ¥4,500,000、Indirect Cost: ¥1,350,000)
Fiscal Year 2016: ¥5,590,000 (Direct Cost: ¥4,300,000、Indirect Cost: ¥1,290,000)
|
|---|
| Outline of Final Research Achievements |
The results of this research are divided into two parts: (1) the system identification method to make the simulator's behavior consistent with that of the real system, and (2) the nonlinear control system design method to design a control system based on the simulator.
For (1), we developed a new method for closed-loop system identification using a virtual controller. This is an effective way to adjust the simulator for large systems and human-operated systems. ....
For (2), we studied the approaches to combine the methods used in machine learning and control theory, and proposed methods based on the simplification of design problems and the construction of databases.
|
