An extension of two degree-of-freedom of generalized predictive control for M-input M-output systems based on state space approach

Akira Yanou, Akira Inoue, Mingcong Deng, Shiro Masuda

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)

Abstract

This paper proposes an extension method of two degree-of-freedom generalized predictive control (GPC) for m-input m-output systems by using coprime factorization approach. The extended controller has a new design parameter which can change controller poles without changing closed-loop poles. And the proposed method reveals an effect of integral compensation only if there exists modeling error and/or disturbance. Therefore, performance degradation due to integral compensation, such as a slow response or an excessive control effort, can be avoided when the controlled system has no perturbation.

Original languageEnglish
Pages (from-to)3307-3317
Number of pages11
JournalInternational Journal of Innovative Computing, Information and Control
Volume4
Issue number12
Publication statusPublished - Dec 1 2008

Keywords

  • Coprime factorization approach
  • Generalized predictive control
  • Two degree-of-freedom

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Information Systems
  • Computational Theory and Mathematics

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