On-demand type feedback controller for state space based generalized minimum variance control using coprime factorization

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

1 Citation (Scopus)

Abstract

This paper proposes on-demand type feedback controller for state space based generalized minimum variance control (GMVC) using coprime factorization. GMVC can be extended by using coprime factorization, and a new design parameter is introduced to the extended controller. Then the parameter can determine the characteristics of the extended controller without changing the closed-loop characteristics. In order to design safe systems, strong stability systems are effective because both closed-loop system and the controller are stable. So the parameter mentioned above is seemed to be useful to design safe systems. Moreover, focusing on feedback signal, the extended controller can adjust the magnitude of the feedback signal. It means that the proposed controller has the possibility to make the magnitude of the feedback signal be zero when the control objective is achieved. In other words the proposed method has the ability that the feedback signal emerges on demand of achieving the control objective. Therefore this paper explores the design method of on-demand type feedback controller using state space based GMVC and coprime factorization. A numerical example is given in order to check the characteristics of the proposed method.

Original languageEnglish
Title of host publicationCACS 2015 - 2015 CACS International Automatic Control Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages67-71
Number of pages5
ISBN (Print)9781467365734
DOIs
Publication statusPublished - Jan 11 2016
Event9th International Automatic Control Conference, CACS 2015 - Yilan, Taiwan, Province of China
Duration: Nov 18 2015Nov 20 2015

Other

Other9th International Automatic Control Conference, CACS 2015
CountryTaiwan, Province of China
CityYilan
Period11/18/1511/20/15

Fingerprint

Factorization
Feedback
Controllers
System stability
Closed loop systems

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Artificial Intelligence

Cite this

Yanou, A., Minami, M., & Matsuno, T. (2016). On-demand type feedback controller for state space based generalized minimum variance control using coprime factorization. In CACS 2015 - 2015 CACS International Automatic Control Conference (pp. 67-71). [7378367] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CACS.2015.7378367

On-demand type feedback controller for state space based generalized minimum variance control using coprime factorization. / Yanou, Akira; Minami, Mamoru; Matsuno, Takayuki.

CACS 2015 - 2015 CACS International Automatic Control Conference. Institute of Electrical and Electronics Engineers Inc., 2016. p. 67-71 7378367.

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

Yanou, A, Minami, M & Matsuno, T 2016, On-demand type feedback controller for state space based generalized minimum variance control using coprime factorization. in CACS 2015 - 2015 CACS International Automatic Control Conference., 7378367, Institute of Electrical and Electronics Engineers Inc., pp. 67-71, 9th International Automatic Control Conference, CACS 2015, Yilan, Taiwan, Province of China, 11/18/15. https://doi.org/10.1109/CACS.2015.7378367
Yanou A, Minami M, Matsuno T. On-demand type feedback controller for state space based generalized minimum variance control using coprime factorization. In CACS 2015 - 2015 CACS International Automatic Control Conference. Institute of Electrical and Electronics Engineers Inc. 2016. p. 67-71. 7378367 https://doi.org/10.1109/CACS.2015.7378367
Yanou, Akira ; Minami, Mamoru ; Matsuno, Takayuki. / On-demand type feedback controller for state space based generalized minimum variance control using coprime factorization. CACS 2015 - 2015 CACS International Automatic Control Conference. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 67-71
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