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

Akira Yanou

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publicationProceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009
Pages492-497
Number of pages6
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009 - Okayama, Japan
Duration: Mar 26 2009Mar 29 2009

Other

Other2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009
CountryJapan
CityOkayama
Period3/26/093/29/09

Fingerprint

Predictive control systems
Genetic algorithms
Polynomials
Error compensation

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Cite this

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] 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.

Research output: Chapter in Book/Report/Conference proceedingConference 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, 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 https://doi.org/10.1109/ICNSC.2009.4919325
Yanou, Akira. / Two degree-of-freedom of generalized predictive control based on polynomial approach using a genetic algorithm. Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009. 2009. pp. 492-497
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