An extension of two degree-of-freedom of self-tuning GPC based on state-space approach using coprime factorization approach

Akira Yanou, Akira Inoue, Shiro Masuda

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

3 Citations (Scopus)

Abstract

This paper proposes an extension of two degree-of-freedom of self-tuning generalized predictive control (GPC) based on state-space approach by using coprime factorization approach. The extended controller has new design parameter which can change controller poles without changing closed-loop poles. When the identified plant parameters converge on true values and the control system has no perturbation, performance degradation due to an integral compensation, such as an excessive control effort, can be avoided.

Original languageEnglish
Title of host publication2007 IEEE International Conference on Networking, Sensing and Control, ICNSC'07
Pages542-546
Number of pages5
DOIs
Publication statusPublished - Oct 1 2007
Event2007 IEEE International Conference on Networking, Sensing and Control, ICNSC'07 - London, United Kingdom
Duration: Apr 15 2007Apr 17 2007

Publication series

Name2007 IEEE International Conference on Networking, Sensing and Control, ICNSC'07

Other

Other2007 IEEE International Conference on Networking, Sensing and Control, ICNSC'07
CountryUnited Kingdom
CityLondon
Period4/15/074/17/07

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Control and Systems Engineering

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    Yanou, A., Inoue, A., & Masuda, S. (2007). An extension of two degree-of-freedom of self-tuning GPC based on state-space approach using coprime factorization approach. In 2007 IEEE International Conference on Networking, Sensing and Control, ICNSC'07 (pp. 542-546). [4239049] (2007 IEEE International Conference on Networking, Sensing and Control, ICNSC'07). https://doi.org/10.1109/ICNSC.2007.372836