Abstract
This paper proposes an extension method of two degree-of-freedom generalized predictive control (GPC) for m-input m-output systems by using coprime factorization approach. The extended controller has a new design parameter which can change controller poles without changing closed-loop poles. And the proposed method reveals an effect of integral compensation only if there exists modeling error and/or disturbance. Therefore, performance degradation due to integral compensation, such as a slow response or an excessive control effort, can be avoided when the controlled system has no perturbation.
| Original language | English |
|---|---|
| Pages (from-to) | 3307-3317 |
| Number of pages | 11 |
| Journal | International Journal of Innovative Computing, Information and Control |
| Volume | 4 |
| Issue number | 12 |
| Publication status | Published - Dec 2008 |
| Externally published | Yes |
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Keywords
- Coprime factorization approach
- Generalized predictive control
- Two degree-of-freedom
ASJC Scopus subject areas
- Computational Theory and Mathematics
- Information Systems
- Software
- Theoretical Computer Science
Cite this
An extension of two degree-of-freedom of generalized predictive control for M-input M-output systems based on state space approach. / Yanou, Akira; Inoue, Akira; Deng, Mingcong; Masuda, Shiro.
In: International Journal of Innovative Computing, Information and Control, Vol. 4, No. 12, 12.2008, p. 3307-3317.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - An extension of two degree-of-freedom of generalized predictive control for M-input M-output systems based on state space approach
AU - Yanou, Akira
AU - Inoue, Akira
AU - Deng, Mingcong
AU - Masuda, Shiro
PY - 2008/12
Y1 - 2008/12
N2 - This paper proposes an extension method of two degree-of-freedom generalized predictive control (GPC) for m-input m-output systems by using coprime factorization approach. The extended controller has a new design parameter which can change controller poles without changing closed-loop poles. And the proposed method reveals an effect of integral compensation only if there exists modeling error and/or disturbance. Therefore, performance degradation due to integral compensation, such as a slow response or an excessive control effort, can be avoided when the controlled system has no perturbation.
AB - This paper proposes an extension method of two degree-of-freedom generalized predictive control (GPC) for m-input m-output systems by using coprime factorization approach. The extended controller has a new design parameter which can change controller poles without changing closed-loop poles. And the proposed method reveals an effect of integral compensation only if there exists modeling error and/or disturbance. Therefore, performance degradation due to integral compensation, such as a slow response or an excessive control effort, can be avoided when the controlled system has no perturbation.
KW - Coprime factorization approach
KW - Generalized predictive control
KW - Two degree-of-freedom
UR - http://www.scopus.com/inward/record.url?scp=63549121102&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=63549121102&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:63549121102
VL - 4
SP - 3307
EP - 3317
JO - International Journal of Innovative Computing, Information and Control
JF - International Journal of Innovative Computing, Information and Control
SN - 1349-4198
IS - 12
ER -