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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.

- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E84-A No.11 pp.2901-2907

- Publication Date
- 2001/11/01

- Publicized

- Online ISSN

- DOI

- Type of Manuscript
- PAPER

- Category
- Systems and Control

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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

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@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},}

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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 -