System decompositions for the design of constrained control systems and its application to the model predictive control
| Project/Area Number |
19560449
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Control engineering
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| Research Institution | Tokyo Metropolitan University |
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Principal Investigator |
KOJIMA Akira Tokyo Metropolitan University, システムデザイン研究科, 教授 (80234756)
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| Project Period (FY) |
2007 – 2009
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| Project Status |
Completed (Fiscal Year 2009)
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| Budget Amount *help |
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2009: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2008: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2007: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Keywords | モデル予測制御 / システム分解 / 拘束システム / H2制御 / 制御工学 / 特異値分解 |
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| Research Abstract |
Model Predictive Control (MPC) has become a standard control strategy for constrained multivariable systems and, for the application to the broader class of mechatronics systems, fast computation algorithm for the online-optimization of control input has been required.
In this study, a system decomposition method is derived for linear time-invariant systems and it is clarified that the dominant system responses are fairly characterized based on the eigenvalue problem of compact operators. The fundamental result obtained here is employed for the derivation of low-order MPC control law and the feature of the proposed control law is investigated with several design examples.
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Report
(4 results)
Research Products
(38 results)
