Strong stability system regulating safety for generalized minimum variance control

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

2 Citations (Scopus)

Abstract

This paper explores a strong stability system, which regulates safety for generalized minimum variance control (GMVC). GMVC is one of the control methods for application in industry and the controller is designed by generalized output to make the closed-loop system stable. Once the generalized output is designed, the derived controller cannot be re-designed without changing the closed-loop characteristic. For safe applications in industry, it is desirable that both of the closed-loop system and the controller are stable. That is, the strong stability system, which means that both of the closed-loop system and the controller are stable, is desirable to develop the applications. Although authors have proposed the extended GMVC design methods and the strong stability systems by using coprime factorization, there is a problem that the degree of controller may be higher than the conventional method because stable polynomial is needed in order to obtain coprime factorization. Therefore this paper directly extends GMVC without coprime factorization, and a strong stability system regulating safety is studied from the view point of the quantity of feedback signal. Some numerical examples are shown in order to check the characteristic of the proposed method.

Original languageEnglish
Title of host publication2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-8
Number of pages8
ISBN (Electronic)9781509065059
DOIs
Publication statusPublished - Jan 4 2018
Event22nd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2017 - Limassol, Cyprus
Duration: Sep 12 2017Sep 15 2017

Other

Other22nd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2017
CountryCyprus
CityLimassol
Period9/12/179/15/17

Fingerprint

System stability
Controllers
Factorization
Closed loop systems
Industry
Polynomials
Feedback

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering
  • Computer Science Applications

Cite this

Yanou, A., Minami, M., & Matsuno, T. (2018). Strong stability system regulating safety for generalized minimum variance control. In 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2017 (pp. 1-8). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ETFA.2017.8247631

Strong stability system regulating safety for generalized minimum variance control. / Yanou, Akira; Minami, Mamoru; Matsuno, Takayuki.

2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2017. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-8.

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

Yanou, A, Minami, M & Matsuno, T 2018, Strong stability system regulating safety for generalized minimum variance control. in 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2017. Institute of Electrical and Electronics Engineers Inc., pp. 1-8, 22nd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2017, Limassol, Cyprus, 9/12/17. https://doi.org/10.1109/ETFA.2017.8247631
Yanou A, Minami M, Matsuno T. Strong stability system regulating safety for generalized minimum variance control. In 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2017. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-8 https://doi.org/10.1109/ETFA.2017.8247631
Yanou, Akira ; Minami, Mamoru ; Matsuno, Takayuki. / Strong stability system regulating safety for generalized minimum variance control. 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2017. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1-8
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