The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Cet article décrit un schéma de conception de contrôleurs à variance minimale généralisée (GMVC) utilisant un réseau de méthode de traitement de données de groupe (GMDH) pour les systèmes non linéaires. Concrètement, la valeur prédictive du résultat requis dans le GMVC est obtenue en utilisant le GMDH qui est une sorte de réseaux multicouches. Étant donné que la valeur prédictive de la sortie dans GMVC est calculée par un modèle non linéaire généré par le réseau GMDH, on peut s'attendre à obtenir de meilleures performances de contrôle que celles du schéma conventionnel. Le comportement du système de contrôle nouvellement proposé est évalué sur des exemples numériques.
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Copier
Akihiro SAKAGUCHI, Toru YAMAMOTO, "A Design of Generalized Minimum Variance Controllers Using a GMDH Network for Nonlinear Systems" in IEICE TRANSACTIONS on Fundamentals,
vol. E84-A, no. 11, pp. 2901-2907, November 2001, doi: .
Abstract: This paper describes a design scheme of generalized minimum variance controllers (GMVC) using a group method of data handling (GMDH) network for nonlinear systems. Concretely, the predictive value of the output required in the GMVC is obtained by using the GMDH which is a kind of multilayered networks. Since the predictive value of the output in GMVC is calculated by a nonlinear model which is generated by the GMDH network, one can expect to obtain the better control performance than that by the conventional scheme. The behavior of the newly proposed control scheme is evaluated on numerical examples.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e84-a_11_2901/_p
Copier
@ARTICLE{e84-a_11_2901,
author={Akihiro SAKAGUCHI, Toru YAMAMOTO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Design of Generalized Minimum Variance Controllers Using a GMDH Network for Nonlinear Systems},
year={2001},
volume={E84-A},
number={11},
pages={2901-2907},
abstract={This paper describes a design scheme of generalized minimum variance controllers (GMVC) using a group method of data handling (GMDH) network for nonlinear systems. Concretely, the predictive value of the output required in the GMVC is obtained by using the GMDH which is a kind of multilayered networks. Since the predictive value of the output in GMVC is calculated by a nonlinear model which is generated by the GMDH network, one can expect to obtain the better control performance than that by the conventional scheme. The behavior of the newly proposed control scheme is evaluated on numerical examples.},
keywords={},
doi={},
ISSN={},
month={November},}
Copier
TY - JOUR
TI - A Design of Generalized Minimum Variance Controllers Using a GMDH Network for Nonlinear Systems
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2901
EP - 2907
AU - Akihiro SAKAGUCHI
AU - Toru YAMAMOTO
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E84-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2001
AB - This paper describes a design scheme of generalized minimum variance controllers (GMVC) using a group method of data handling (GMDH) network for nonlinear systems. Concretely, the predictive value of the output required in the GMVC is obtained by using the GMDH which is a kind of multilayered networks. Since the predictive value of the output in GMVC is calculated by a nonlinear model which is generated by the GMDH network, one can expect to obtain the better control performance than that by the conventional scheme. The behavior of the newly proposed control scheme is evaluated on numerical examples.
ER -