Development of System Identification Device for Control Systems Design
| Project/Area Number |
12555121
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 展開研究 |
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| Research Field |
Control engineering
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| Research Institution | Utsunomiya University |
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Principal Investigator |
ADACHI Shuichi Utsunomiya Univ., Fac. of Engineering, Professor, 工学部, 教授 (40222624)
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| Co-Investigator(Kenkyū-buntansha) |
WAKUI Shinji Tokyo University of Agriculture and Technology, Professor, 工学部, 教授 (70334472)
FUNATO Hirohito Utsunomiya Univ., Fac. of Engineering, Associate Professor, 工学部, 助教授 (60272217)
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| Project Period (FY) |
2000 – 2002
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| Project Status |
Completed (Fiscal Year 2002)
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| Budget Amount *help |
¥8,100,000 (Direct Cost: ¥8,100,000)
Fiscal Year 2002: ¥1,300,000 (Direct Cost: ¥1,300,000)
Fiscal Year 2001: ¥2,300,000 (Direct Cost: ¥2,300,000)
Fiscal Year 2000: ¥4,500,000 (Direct Cost: ¥4,500,000)
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| Keywords | Contorol / Modeling / System Identification |
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| Research Abstract |
This research develops a system identification device for control system's design. A prototype of the hardware has been developed and a GUI (Graphical User Interface)that supports system identification operation has been installed in the system identification device. The system identification device also includes new system identification methods such as
1) System identification method based on SVM (support vector machine),
2) System identification methods for non-uniform sampling data.
The former method that is SVM-based system identification method is proposed for linear regression models such as ARX (Auto-Regressive with eXtra input) model, and it is shown that the method is robust for input-output data with outliner.
In the latter method, non-uniform sampling data is first transformed to uniform sampling data whose sampling period is smaller than the original data. Second a system identification method with missing data estimation is applied to the data.
The effectiveness of the developed system identification device is examined using experimental apparatus such as an inverted pendulum and an active noise control svstem.
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Report
(4 results)
Research Products
(16 results)
