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A novel recursive data-driven realization of SIR in closed-loop system

  • Harbin Institute of Technology
  • Bogazici University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Modern factories are facing severe challenges from production safety to dealing tons of process data. Aiming to provide powerful tools for system analysis and design through data-driven techniques, this paper proposed a novel recursive data-driven Stable Image Representation (SIR) identification method. By controlling the rows future and past vectors, the algorithm given in this paper can provide adjustable identification precision with relatively low computational load. The correctness of this paper has been shown in a Double loop DC motor system. The work in this paper is essential to the future research on data-driven recursive realization of stability margin and gap metric.

Original languageEnglish
Title of host publicationProceedings of 2019 11th CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes, SAFEPROCESS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages669-674
Number of pages6
ISBN (Electronic)9781728106816
DOIs
StatePublished - Jul 2019
Event11th CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes, SAFEPROCESS 2019 - Xiamen, China
Duration: 5 Jul 20197 Jul 2019

Publication series

NameProceedings of 2019 11th CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes, SAFEPROCESS 2019

Conference

Conference11th CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes, SAFEPROCESS 2019
Country/TerritoryChina
CityXiamen
Period5/07/197/07/19

Keywords

  • Data-driven method
  • Online identification
  • Recursive identification
  • Stable Image Representation

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