Two degree-of-freedom of self-tuning GPC for M-input M-output systems based on state space approach

Akira Yanou; Shiro Masuda; Akira Inoue

Two degree-of-freedom of self-tuning GPC for M-input M-output systems based on state space approach

Akira Yanou, Shiro Masuda, Akira Inoue

Faculty of Engineering

Research output: Contribution to conference › Paper › peer-review

3 Citations (Scopus)

Abstract

This paper proposes a design scheme of self-tuning two degree-of-freedom GPC for m-input m-output systems. 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 language	English
Pages	220-224
Number of pages	5
Publication status	Published - Dec 1 2005
Event	SICE Annual Conference 2005 - Okayama, Japan Duration: Aug 8 2005 → Aug 10 2005

Other

Other	SICE Annual Conference 2005
Country	Japan
City	Okayama
Period	8/8/05 → 8/10/05

Keywords

Generalized predictive control
Self-tuning control
Two degree-of-freedom

ASJC Scopus subject areas

Control and Systems Engineering
Computer Science Applications
Electrical and Electronic Engineering

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abstract = "This paper proposes a design scheme of self-tuning two degree-of-freedom GPC for m-input m-output systems. 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.",

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AU - Yanou, Akira

AU - Masuda, Shiro

AU - Inoue, Akira

PY - 2005/12/1

Y1 - 2005/12/1

N2 - This paper proposes a design scheme of self-tuning two degree-of-freedom GPC for m-input m-output systems. 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.

AB - This paper proposes a design scheme of self-tuning two degree-of-freedom GPC for m-input m-output systems. 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.

KW - Generalized predictive control

KW - Self-tuning control

KW - Two degree-of-freedom

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Two degree-of-freedom of self-tuning GPC for M-input M-output systems based on state space approach

Abstract

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Keywords

ASJC Scopus subject areas

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