Abstract
This paper proposes a design scheme of self-tuning two degree-of-freedom GPC for m-input m-output systems. When the identified plant parameters converge on true values, the proposed method reveals the effect of the integral compensation only if there exists modeling error or disturbance. Therefore, performance degradation due to an integral compensation can be avoided when the controlled system has no perturbation.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the SICE Annual Conference |
| Pages | 220-224 |
| Number of pages | 5 |
| Publication status | Published - 2005 |
| Externally published | Yes |
| Event | SICE Annual Conference 2005 - Okayama, Japan Duration: Aug 8 2005 → Aug 10 2005 |
Other
| Other | SICE Annual Conference 2005 |
|---|---|
| Country | Japan |
| City | Okayama |
| Period | 8/8/05 → 8/10/05 |
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Keywords
- Generalized predictive control
- Self-tuning control
- Two degree-of-freedom
ASJC Scopus subject areas
- Engineering(all)
Cite this
Two degree-of-freedom of self-tuning GPC for M-input M-output systems based on state space approach. / Yanou, Akira; Masuda, Shiro; Inoue, Akira.
Proceedings of the SICE Annual Conference. 2005. p. 220-224.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Two degree-of-freedom of self-tuning GPC for M-input M-output systems based on state space approach
AU - Yanou, Akira
AU - Masuda, Shiro
AU - Inoue, Akira
PY - 2005
Y1 - 2005
N2 - This paper proposes a design scheme of self-tuning two degree-of-freedom GPC for m-input m-output systems. When the identified plant parameters converge on true values, the proposed method reveals the effect of the integral compensation only if there exists modeling error or disturbance. Therefore, performance degradation due to an integral compensation can be avoided when the controlled system has no perturbation.
AB - This paper proposes a design scheme of self-tuning two degree-of-freedom GPC for m-input m-output systems. When the identified plant parameters converge on true values, the proposed method reveals the effect of the integral compensation only if there exists modeling error or disturbance. Therefore, performance degradation due to an integral compensation can be avoided when the controlled system has no perturbation.
KW - Generalized predictive control
KW - Self-tuning control
KW - Two degree-of-freedom
UR - http://www.scopus.com/inward/record.url?scp=33645278937&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33645278937&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:33645278937
SP - 220
EP - 224
BT - Proceedings of the SICE Annual Conference
ER -