TY - GEN
T1 - Strong stability system regulating safety for generalized minimum variance control
AU - Yanou, Akira
AU - Minami, Mamoru
AU - Matsuno, Takayuki
N1 - Funding Information:
This work was supported by JSPS KAKENHI Grant Number JP16K06415.
PY - 2017/6/28
Y1 - 2017/6/28
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
T3 - IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
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.
T2 - 22nd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2017
Y2 - 12 September 2017 through 15 September 2017
ER -