| Project/Area Number |
23700276
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Sensitivity informatics/Soft computing
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| Research Institution | Tokai University |
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Principal Investigator |
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| Project Period (FY) |
2011 – 2013
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2013: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2012: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2011: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Keywords | 知的制御 / 区分的双線形モデル / モデル予測制御 / 非線形制御 / 制御系設計 / 制御工学 / 区分的モデル |
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| Research Abstract |
Despite the many analysis and synthesis methods proposed for nonlinear control systems, difficulties remain in dealing with nonlinear control systems, compared to linear systems, and the major reason lies in the lack of a general parametric expression for nonlinear systems. In addition, it is not easy to handle nonlinear control theories for onsite control engineers. To overcome the difficulties, we aimed to develop a control method which was not difficult to design the nonlinear control systems. In this work, we developed intuitive and effective control methods using piecewise bilinear model predictive control system. As the control performance, we proposed a piecewise controller for multi-input and multi-output nonlinear systems, the robust controller, a look-up-table type controller, a servo controller and an observer system. We also proposed a piecewise bilinear models for feedback learning based on on-line feedforward controller design.
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