Abstract
Generalized Predictive Control (GPC) achieves a robust tracking for step-type reference signal by including an integrator in advance. Although author has proposed a design scheme of two degree-of-freedom GPC system which reveals an effect of integral compensation only if there exists modeling error or disturbance, a gain for integral compensation must be selected by trial and error. In this paper, a new scheme of two degree-of-freedom of GPC system based on polynomial approach is obtained by using a genetic algorithm for selection of integral gain.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009 |
| Pages | 492-497 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2009 |
| Externally published | Yes |
| Event | 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009 - Okayama, Japan Duration: Mar 26 2009 → Mar 29 2009 |
Other
| Other | 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009 |
|---|---|
| Country | Japan |
| City | Okayama |
| Period | 3/26/09 → 3/29/09 |
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ASJC Scopus subject areas
- Computer Networks and Communications
- Electrical and Electronic Engineering
Cite this
Two degree-of-freedom of generalized predictive control based on polynomial approach using a genetic algorithm. / Yanou, Akira.
Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009. 2009. p. 492-497 4919325.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Two degree-of-freedom of generalized predictive control based on polynomial approach using a genetic algorithm
AU - Yanou, Akira
PY - 2009
Y1 - 2009
N2 - Generalized Predictive Control (GPC) achieves a robust tracking for step-type reference signal by including an integrator in advance. Although author has proposed a design scheme of two degree-of-freedom GPC system which reveals an effect of integral compensation only if there exists modeling error or disturbance, a gain for integral compensation must be selected by trial and error. In this paper, a new scheme of two degree-of-freedom of GPC system based on polynomial approach is obtained by using a genetic algorithm for selection of integral gain.
AB - Generalized Predictive Control (GPC) achieves a robust tracking for step-type reference signal by including an integrator in advance. Although author has proposed a design scheme of two degree-of-freedom GPC system which reveals an effect of integral compensation only if there exists modeling error or disturbance, a gain for integral compensation must be selected by trial and error. In this paper, a new scheme of two degree-of-freedom of GPC system based on polynomial approach is obtained by using a genetic algorithm for selection of integral gain.
UR - http://www.scopus.com/inward/record.url?scp=70349124164&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70349124164&partnerID=8YFLogxK
U2 - 10.1109/ICNSC.2009.4919325
DO - 10.1109/ICNSC.2009.4919325
M3 - Conference contribution
AN - SCOPUS:70349124164
SN - 9781424434923
SP - 492
EP - 497
BT - Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009
ER -