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 |
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| 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 - Sep 21 2009 |
| Event | 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009 - Okayama, Japan Duration: Mar 26 2009 → Mar 29 2009 |
Publication series
| Name | Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009 |
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Other
| Other | 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009 |
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| Country | Japan |
| City | Okayama |
| Period | 3/26/09 → 3/29/09 |
ASJC Scopus subject areas
- Computer Networks and Communications
- Electrical and Electronic Engineering
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Yanou, A. (2009). Two degree-of-freedom of generalized predictive control based on polynomial approach using a genetic algorithm. In Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009 (pp. 492-497). [4919325] (Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009). https://doi.org/10.1109/ICNSC.2009.4919325