Research on identification of nonlinear systems using prior knowledge and subspace identification methods
Project/Area Number |
22560446
|
Research Category |
Grant-in-Aid for Scientific Research (C)
|
Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Control engineering
|
Research Institution | Hiroshima University (2011-2012) Kyoto University (2010) |
Principal Investigator |
TANAKA Hideyuki 広島大学, 大学院・教育学研究科, 准教授 (90303883)
|
Project Period (FY) |
2010 – 2012
|
Project Status |
Completed (Fiscal Year 2012)
|
Budget Amount *help |
¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2012: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2011: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2010: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
|
Keywords | 制御理論 / システム同定 / グレーボックス同定 / 部分空間同定法 / LPV (Linear Parameter Varying)モデル / Twin Rotor MIMO System / 回転型振子 / モデル集合同定 / 閉ループ同定 / 異常値検出 / 確率実現 / スペクトル密度関数 |
Research Abstract |
In this research, nonlinear systems identification is investigated by using subspace identification methods with prior knowledge on the first principles. Identification algorithms for LPV (Linear Parameter Varying) systems are developed by means of grey-box modeling, where parameters are computed from the estimated states. It is also shown by experiments that obtained grey-box models are dependent on white-box models.
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Report
(4 results)
Research Products
(32 results)