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 journalArticle

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 2008
Externally publishedYes

Fingerprint

Generalized Predictive Control
Pole
Poles
State Space
Degree of freedom
Coprime Factorization
Controller
Controllers
Modeling Error
Output
Parameter Design
Factorization
Closed-loop
Degradation
Disturbance
Perturbation
Compensation and Redress

Keywords

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

ASJC Scopus subject areas

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

Cite this

An extension of two degree-of-freedom of generalized predictive control for M-input M-output systems based on state space approach. / Yanou, Akira; Inoue, Akira; Deng, Mingcong; Masuda, Shiro.

In: International Journal of Innovative Computing, Information and Control, Vol. 4, No. 12, 12.2008, p. 3307-3317.

Research output: Contribution to journalArticle

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