Two degree-of-freedom of generalized predictive control based on polynomial approach using a genetic algorithm

Akira Yanou

doi:10.1109/ICNSC.2009.4919325

Two degree-of-freedom of generalized predictive control based on polynomial approach using a genetic algorithm

Akira Yanou

Faculty of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

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	https://doi.org/10.1109/ICNSC.2009.4919325
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

Other

Other	2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009
Country	Japan
City	Okayama
Period	3/26/09 → 3/29/09

ASJC Scopus subject areas

Computer Networks and Communications
Electrical and Electronic Engineering

Access to Document

10.1109/ICNSC.2009.4919325

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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

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 (Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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., 4919325, Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009, pp. 492-497, 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009, Okayama, Japan, 3/26/09. https://doi.org/10.1109/ICNSC.2009.4919325

Yanou A. 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. 2009. p. 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

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