Two degree-of-freedom of self-tuning generalized predictive control based on polynomial approach

Akira Yanou, Shiro Masuda, Akira Inoue

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Citations (Scopus)

Abstract

We propose a design scheme of self-tuning two degree-of-freedom GPC based on polynomial approach. When the identified plant parameters converge on true values, the proposed method reveals the effect of the integral compensation only if there exists modeling error or disturbance. Therefore, performance degradation due to an integral compensation can be avoided when the controlled system has no perturbation.

Original languageEnglish
Title of host publicationProceedings of the SICE Annual Conference
Pages1187-1190
Number of pages4
Publication statusPublished - 2005
Externally publishedYes
EventSICE Annual Conference 2005 - Okayama, Japan
Duration: Aug 8 2005Aug 10 2005

Other

OtherSICE Annual Conference 2005
CountryJapan
CityOkayama
Period8/8/058/10/05

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Keywords

  • Generalized predictive control
  • Polynomial approach
  • Self-tuning control
  • Two degree-of-freedom

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Yanou, A., Masuda, S., & Inoue, A. (2005). Two degree-of-freedom of self-tuning generalized predictive control based on polynomial approach. In Proceedings of the SICE Annual Conference (pp. 1187-1190)