Performance analysis of feedbacked passive systems for decentralized design of large-scale systems

Kengo Urata, Masaki Inoue

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

This paper addresses quantitative analysis and performance improvement of feedbacked passive systems. Matrix-parameters are integrated into the passivity to enable performance evaluation of passive dynamical systems. With the matrices, the feedback system composed of the passive subsystems is quantitatively evaluated. It is further shown that the performance of the feedback system is improved as compared to that of the disconnected subsystems. Then, the quantitative analysis of the feedback system is extended to that of an iterative feedback system. Motivated from the analysis of a decentralized controlled system, we assume that each subsystem in the iterative feedback system has a special structure. Then, the gradual performance improvement is shown via the additional subsystem connection.

Original languageEnglish
Title of host publication2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2336-2341
Number of pages6
Volume2018-January
ISBN (Electronic)9781509028733
DOIs
Publication statusPublished - 2018 Jan 18
Event56th IEEE Annual Conference on Decision and Control, CDC 2017 - Melbourne, Australia
Duration: 2017 Dec 122017 Dec 15

Other

Other56th IEEE Annual Conference on Decision and Control, CDC 2017
CountryAustralia
CityMelbourne
Period17/12/1217/12/15

ASJC Scopus subject areas

  • Decision Sciences (miscellaneous)
  • Industrial and Manufacturing Engineering
  • Control and Optimization

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  • Cite this

    Urata, K., & Inoue, M. (2018). Performance analysis of feedbacked passive systems for decentralized design of large-scale systems. In 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017 (Vol. 2018-January, pp. 2336-2341). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC.2017.8263991