Basic theory for knock-down structure identification of network systems

2017 Fiscal Year Final Research Report

• Project/Area Number: 26820164
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Control engineering/System engineering
• Research Institution: Utsunomiya University
• Principal Investigator: Suzuki Masayasu 宇都宮大学, 工学(系)研究科(研究院), 助教 (10456692)
• Research Collaborator: HIRATA Mitsuo ; IMURA Jun-ichi ; IGARASHI Kenta ; USUI Shunsuke ; AIHARA Kazuyuki
• Project Period (FY): 2014-04-01 – 2018-03-31
• Keywords: ネットワークシステム / ネットワーク構造同定 / ノード・ノックアウト/ダウン / 非線形時系列解析

Outline of Final Research Achievements

While interest in analysis/control for large-scale network systems is increasing, developing identification methods of network structure is required. Most of the existing methods however assume that all of the states of the subsystems are available, which includes a problem on financial/technical viability. In this research, we proposed a structure identification method for networks that have a relatively smaller number of actuators/sensors than that of the subsystems, where we employed the idea of knock-down procedure in gene engineering. In addition, for the realization of nonlinear network identification, nonlinear time-series analysis methods were discussed.

Free Research Field

制御工学