2016 Fiscal Year Final Research Report
Analysis and synthesis of expert systems using piecewise bilinear models
| Project/Area Number |
26330285
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Soft computing
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| Research Institution | Tokai University |
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Principal Investigator |
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| Research Collaborator |
SUGENO Michio
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| Project Period (FY) |
2014-04-01 – 2017-03-31
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| Keywords | 区分的モデル / フィードバック誤差学習 |
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| Outline of Final Research Achievements |
This research deals with the expert system analysis and synthesis via piecewise bilinear models. We propose a feedback error learning method and a look-up-table type controller using piecewise bilinear models. We realize the system identification, the controller design and the inverse model learning at the same time. We propose an inverse model less than the conventional one using the system dynamics.
We construct the piecewise models of some non-holonomic system and design the piecewise controller using dynamic feedback linearization. We realize the stabilizations of nonlinear system with singularities via switching piecewise bilinear models and realize the tracking controls of arbitrary path with elliptical orbits.
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| Free Research Field |
非線形制御
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