• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to project page

2017 Fiscal Year Final Research Report

Foundamental Principle for control of super-scaled complex network systems

Research Project

  • PDF
Project/Area Number 26249062
Research Category

Grant-in-Aid for Scientific Research (A)

Allocation TypeSingle-year Grants
Section一般
Research Field Control engineering/System engineering
Research InstitutionTokyo Institute of Technology

Principal Investigator

Imura Jun-ichi  東京工業大学, 工学院, 教授 (50252474)

Co-Investigator(Kenkyū-buntansha) 早川 朋久  東京工業大学, 工学院, 准教授 (30432008)
Co-Investigator(Renkei-kenkyūsha) ISHIZAKI Takayuki  東京工業大学, 工学院, 助教 (10650335)
INOUE Masaki  慶應義塾大学, 理工学部, 助教 (80725680)
SUZUKI Masayasu  宇都宮大学, 工学部, 助教 (10456692)
Research Collaborator KAMAL Md. Abdus Samad  Monash University, School of Engineering, Senior Lecturer
Project Period (FY) 2014-04-01 – 2018-03-31
Keywords制御工学 / ネットワーク / 交通ネットワーク / バイオネットワーク
Outline of Final Research Achievements

This project has developed a mathematical modeling method for control of large-scale complex network systems. In particular, a modeling method called here clustered model reduction has been extended to a wider class of network systems. Based on this findings, the project has focused on two research topics, i.e., topics on modeling of traffic networks and biological networks, and developed a new modeling method and an estimation method focusing on interaction of subsystems.

Free Research Field

制御工学

URL: 

Published: 2019-03-29  

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi