| Project/Area Number |
23656271
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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| Research Field |
Control engineering
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| Research Institution | Kyoto Institute of Technology |
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Principal Investigator |
KUROE Yasuaki 京都工芸繊維大学, 大学院工芸科学研究科, 教授 (10153397)
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| Co-Investigator(Kenkyū-buntansha) |
IIMA Hitoshi 京都工芸繊維大学, 工芸科学研究科, 准教授 (70273547)
MORI Yoshihiro 京都工芸繊維大学, 工芸科学研究科, 准教授 (40273544)
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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 |
¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
Fiscal Year 2013: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2012: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2011: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
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| Keywords | ダイナミカルシステム / 解析・設計 / システムモデル / アルゴリズム / ハイブリッドシステム / シミュレータ / カオスシステム / 遺伝子ネットワーク / ニューラルネットワーク |
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| Research Abstract |
The purpose of this research is to develop analysis and design methods for dynamical systems by regarding their simulators as their models, that is to say, to develop analysis and design methods based on the models described by algorithms. In order to make the purpose specific issues, several nonlinear systems and hybrid systems which we have been pursuing so for are chosen as the targets of the research. For some analysis and design problems of those systems we develop methodologies to derive solutions based on their simulators, that is, their algorithm models. As another approach we also developed methodologies to derive solutions for some design problems by introducing reinforcement learning methods, which are those by acquiring their models through learning.
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