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Probabilistic Approach to Analysis and Synthesis of Resilient Control Systems

Research Project

Project/Area Number 15K18088
Research Category

Grant-in-Aid for Young Scientists (B)

Allocation TypeMulti-year Fund
Research Field Control engineering/System engineering
Research InstitutionOsaka University

Principal Investigator

WADA Takayuki  大阪大学, 情報科学研究科, 准教授 (60599207)

Project Period (FY) 2015-04-01 – 2018-03-31
Project Status Completed (Fiscal Year 2017)
Budget Amount *help
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2017: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2016: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2015: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Keywords制御工学 / システム工学 / 数理工学 / アルゴリズム
Outline of Final Research Achievements

Probabilistic approaches to realization of resilient control systems were considered. We first provided a stopping rule of stochastic approximation procedures which is a typical method for solving unknown nonlinear equations or optimization based on its measurement of residual of equations or objective function value. A key idea is to provide a relationship between the number of iterations and estimation error of a solution candidate.
Furthermore, an identification method which is called Leave-out Sign-dominant Correlation Regions (LSCR) algorithm is considered. This method finds a non-asymptotic confidence region for the parameters of a plant model. We proposed a construction of a connected confidence region for the parameters of an AR models. A key idea is to employ the prediction error of model output directly. Since the error function is monotone with respect to each parameter, it always leads to a connected confidence region for a class of the models.

Report

(4 results)
  • 2017 Annual Research Report   Final Research Report ( PDF )
  • 2016 Research-status Report
  • 2015 Research-status Report
  • Research Products

    (6 results)

All 2018 2017 2016 2015

All Journal Article (4 results) (of which Peer Reviewed: 4 results,  Acknowledgement Compliant: 2 results) Presentation (2 results) (of which Int'l Joint Research: 1 results)

  • [Journal Article] 確率近似法の停止則2018

    • Author(s)
      和田孝之,藤崎泰正
    • Journal Title

      システム/制御/情報

      Volume: 62 Pages: 188-193

    • NAID

      130007511458

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed
  • [Journal Article] A Randomized Algorithm for Robust BMI Optimization2017

    • Author(s)
      Wada Takayuki、Fujisaki Yasumasa
    • Journal Title

      Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications

      Volume: 2017 Issue: 0 Pages: 111-116

    • DOI

      10.5687/sss.2017.111

    • NAID

      130006192981

    • ISSN
      2188-4730, 2188-4749
    • Related Report
      2017 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Stopping Rules for Optimization Algorithms Based on Stochastic Approximation2016

    • Author(s)
      Takayuki Wada, Yasumasa Fujisaki
    • Journal Title

      Journal of Optimization Theory and Applications

      Volume: 169 Issue: 2 Pages: 568-586

    • DOI

      10.1007/s10957-015-0808-7

    • Related Report
      2016 Research-status Report
    • Peer Reviewed / Acknowledgement Compliant
  • [Journal Article] A Stopping Rule for Stochastic Approximation2015

    • Author(s)
      Takayuki Wada, Yasumasa Fujisaki
    • Journal Title

      Automatica

      Volume: 60 Pages: 1-6

    • DOI

      10.1016/j.automatica.2015.06.029

    • NAID

      130006985115

    • Related Report
      2015 Research-status Report
    • Peer Reviewed / Acknowledgement Compliant
  • [Presentation] 自己回帰モデル同定における連結性を考慮した非漸近的な信頼領域2017

    • Author(s)
      和田孝之, 北條智大, 藤崎泰正
    • Organizer
      第61回システム制御情報学会研究発表講演会
    • Related Report
      2017 Annual Research Report
  • [Presentation] A Randomized Algorithms for Robust BMI Optimization2016

    • Author(s)
      Takayuki Wada
    • Organizer
      The 48th International Symposium on Stochastic Systems Theory and Its Applications
    • Place of Presentation
      Fukuoka Institute of Technology, Fukuoka, Japan
    • Year and Date
      2016-11-04
    • Related Report
      2016 Research-status Report
    • Int'l Joint Research

URL: 

Published: 2015-04-16   Modified: 2019-03-29  

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