A methodology for designing dynamical networks based on energy structure via contraction and aggregation principle
| Project/Area Number |
26420422
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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 |
Control engineering/System engineering
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| Research Institution | Kyushu Institute of Technology |
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Principal Investigator |
Ito Hiroshi 九州工業大学, 大学院情報工学研究院, 教授 (70274561)
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| Research Collaborator |
KELLETT Christopher ニューカッスル大学
RUEFFER Bjoern ニューカッスル大学
DIRR Gunther ビュルツブルグ大学
MIRONCHENKO Andrii ビュルツブルグ大学
RANTZER Andras ルンド大学
PEPE Pierdomenico ラクイラ大学
JIANG Zhong-Ping ニューヨーク大学
DINH Thach N. バロンシェンヌ・エ・デュ・エノー=カンブレシ大学
FREDERIC Mazenc フランス国立情報学自動制御研究所
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| Project Period (FY) |
2014-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
Fiscal Year 2016: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2015: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2014: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Keywords | 非線形システム制御 / ダイナミクス / ネットワーク / 安定論 / 制御理論 / 国際研究者交流 / 多国籍 / キーワード / 国際研究者交流(オーストラリア) |
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| Outline of Final Research Achievements |
In modern societies experiencing rapid development of information and communication technology, physical connections between components are being replaced by digital artificial connections. This technological direction is motivated by efficiency and safety. However, uncoordinated communication between components and resources often results in suspension of service and even runs into catastrophic collapse. This research perused a mathematical methodology for designing dynamical networks based on energy structure. To cover various interactions between physical and artificial modules, the developed principle of contraction and aggregation has been generalized further to cover infinite-dimensional and stochastic systems as well as finite-dimensional and deterministic systems. The results provide a flexible modular approach which allows us to address nonlinearities such as limitation and saturation in designing dynamical networks.
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Report
(4 results)
Research Products
(32 results)
