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An Online Recursive Computational Approach for the Closed-Loop Stability Margin of the PnP Process Monitoring and Control Structure

  • Harbin Institute of Technology
  • Bogazici University

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

Abstract

Aiming at the development of real-time control-performance-oriented fault diagnosis and fault-tolerant control, an online recursive computational approach is proposed in this paper for the closed-loop stability margin of the plug-and-play process monitoring and control architecture (PnP-PMCA). The core of the proposed approach is based on the recursive least square (RLS) technique, which avoids the online computation of the matrix inverse. With the proposed approach in this paper, real-time control-performance-oriented fault diagnosis can be achieved. The correctness and the effectiveness of the proposed approach are demonstrated through the case studies on a DC motor benchmark system.

Original languageEnglish
Title of host publicationINES 2019 - IEEE 23rd International Conference on Intelligent Engineering Systems, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages47-52
Number of pages6
ISBN (Electronic)9781728112138
DOIs
StatePublished - Apr 2019
Event23rd IEEE International Conference on Intelligent Engineering Systems, INES 2019 - Godollo, Hungary
Duration: 25 Apr 201927 Apr 2019

Publication series

NameINES 2019 - IEEE 23rd International Conference on Intelligent Engineering Systems, Proceedings

Conference

Conference23rd IEEE International Conference on Intelligent Engineering Systems, INES 2019
Country/TerritoryHungary
CityGodollo
Period25/04/1927/04/19

Keywords

  • Stability margin
  • data-driven method
  • process monitoring.
  • recursive computation

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