Detection of Low Dimensional Nonlinear Dynamics generated from Large Degree of Freedom Systems

2015 Fiscal Year Final Research Report

• Project/Area Number: 25660204
• Research Category: Grant-in-Aid for Challenging Exploratory Research
• Allocation Type: Multi-year Fund
• Research Field: Agricultural environmental engineering/Agricultural information engineering
• Research Institution: Tokyo University of Agriculture and Technology
• Principal Investigator: Sakai Kenshi 東京農工大学, (連合)農学研究科(研究院), 教授 (40192083)
• Project Period (FY): 2013-04-01 – 2016-03-31
• Keywords: 非線形力学 / 同期 / 共通ノイズ / 土壌破壊 / 脈波 / サロゲーション / 遷移誤差 / カオス

Outline of Final Research Achievements

Low dimensional nonlinear dynamics emerged from large degree of freedom Systems was investigated. We employed nonlinear time series analysis in a comprehensive manner and proposed empirical and simple way to distinguish determinism from colored noise. The subjects investigated in this project were soil failure patter, human cadiovascular system, citrus production of national market and acorn masting with pollen coupling and common induced noise.

Free Research Field

農業環境工学