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 - Sep 21 2009
Event2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009 - Okayama, Japan
Duration: Mar 26 2009Mar 29 2009

Publication series

NameProceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009

Other

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

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