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 language | English |
|---|---|
| Title of host publication | 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1-8 |
| Number of pages | 8 |
| ISBN (Electronic) | 9781509065059 |
| DOIs | |
| Publication status | Published - Jan 4 2018 |
| Event | 22nd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2017 - Limassol, Cyprus Duration: Sep 12 2017 → Sep 15 2017 |
Other
| Other | 22nd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2017 |
|---|---|
| Country | Cyprus |
| City | Limassol |
| Period | 9/12/17 → 9/15/17 |
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ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Control and Systems Engineering
- Industrial and Manufacturing Engineering
- Computer Science Applications
Cite this
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 proceeding › Conference contribution
}
TY - GEN
T1 - Strong stability system regulating safety for generalized minimum variance control
AU - Yanou, Akira
AU - Minami, Mamoru
AU - Matsuno, Takayuki
PY - 2018/1/4
Y1 - 2018/1/4
N2 - 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.
AB - 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.
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U2 - 10.1109/ETFA.2017.8247631
DO - 10.1109/ETFA.2017.8247631
M3 - Conference contribution
AN - SCOPUS:85044470058
SP - 1
EP - 8
BT - 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2017
PB - Institute of Electrical and Electronics Engineers Inc.
ER -