H∞ system identification algorithm applied to Tokamak modelling

A. Coutlis; D. J.N. Limebeer; J. Wainwright; J. B. Lister; P. Vyas; D. J. Ward

H^∞ system identification algorithm applied to Tokamak modelling

A. Coutlis, D. J.N. Limebeer, J. Wainwright, J. B. Lister, P. Vyas, D. J. Ward

Imperial College London

Research output: Contribution to journal › Conference article › peer-review

1 Citation (Scopus)

Abstract

In this paper we describe the application of MISO System Identification to Tokamak simulations and machines. The work is motivated by the desire to create linear models for the design of modern controllers. The method described in this paper is a worst-case identification technique, in that it aims to minimize the H^∞ error between the identified model and the plant. Such a model is particularly suited for robust controller design. The method is fully detailed from the design of identification experiments through to the creation of a low-order model from a combination of Hankel model reduction and Chebycheff approximation. We show results from the application of this method to a powerful Tokamak Simulation Code (TSC) and discuss results on the TCV Tokamak in Lausanne.

Original language	English
Pages (from-to)	3685-3690
Number of pages	6
Journal	Proceedings of the IEEE Conference on Decision and Control
Volume	4
Publication status	Published - 1997
Externally published	Yes
Event	Proceedings of the 1997 36th IEEE Conference on Decision and Control. Part 1 (of 5) - San Diego, CA, USA Duration: 10 Dec 1997 → 12 Dec 1997

ASJC Scopus subject areas

Control and Systems Engineering
Modeling and Simulation
Control and Optimization

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

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title = "H∞ system identification algorithm applied to Tokamak modelling",

abstract = "In this paper we describe the application of MISO System Identification to Tokamak simulations and machines. The work is motivated by the desire to create linear models for the design of modern controllers. The method described in this paper is a worst-case identification technique, in that it aims to minimize the H∞ error between the identified model and the plant. Such a model is particularly suited for robust controller design. The method is fully detailed from the design of identification experiments through to the creation of a low-order model from a combination of Hankel model reduction and Chebycheff approximation. We show results from the application of this method to a powerful Tokamak Simulation Code (TSC) and discuss results on the TCV Tokamak in Lausanne.",

author = "A. Coutlis and Limebeer, {D. J.N.} and J. Wainwright and Lister, {J. B.} and P. Vyas and Ward, {D. J.}",

year = "1997",

language = "English",

volume = "4",

pages = "3685--3690",

journal = "Proceedings of the IEEE Conference on Decision and Control",

issn = "0191-2216",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "Proceedings of the 1997 36th IEEE Conference on Decision and Control. Part 1 (of 5) ; Conference date: 10-12-1997 Through 12-12-1997",

}

TY - JOUR

T1 - H∞ system identification algorithm applied to Tokamak modelling

AU - Coutlis, A.

AU - Limebeer, D. J.N.

AU - Wainwright, J.

AU - Lister, J. B.

AU - Vyas, P.

AU - Ward, D. J.

PY - 1997

Y1 - 1997

N2 - In this paper we describe the application of MISO System Identification to Tokamak simulations and machines. The work is motivated by the desire to create linear models for the design of modern controllers. The method described in this paper is a worst-case identification technique, in that it aims to minimize the H∞ error between the identified model and the plant. Such a model is particularly suited for robust controller design. The method is fully detailed from the design of identification experiments through to the creation of a low-order model from a combination of Hankel model reduction and Chebycheff approximation. We show results from the application of this method to a powerful Tokamak Simulation Code (TSC) and discuss results on the TCV Tokamak in Lausanne.

AB - In this paper we describe the application of MISO System Identification to Tokamak simulations and machines. The work is motivated by the desire to create linear models for the design of modern controllers. The method described in this paper is a worst-case identification technique, in that it aims to minimize the H∞ error between the identified model and the plant. Such a model is particularly suited for robust controller design. The method is fully detailed from the design of identification experiments through to the creation of a low-order model from a combination of Hankel model reduction and Chebycheff approximation. We show results from the application of this method to a powerful Tokamak Simulation Code (TSC) and discuss results on the TCV Tokamak in Lausanne.

UR - http://www.scopus.com/inward/record.url?scp=0031388077&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:0031388077

SN - 0191-2216

VL - 4

SP - 3685

EP - 3690

JO - Proceedings of the IEEE Conference on Decision and Control

JF - Proceedings of the IEEE Conference on Decision and Control

T2 - Proceedings of the 1997 36th IEEE Conference on Decision and Control. Part 1 (of 5)

Y2 - 10 December 1997 through 12 December 1997

ER -

H^∞ system identification algorithm applied to Tokamak modelling

Abstract

ASJC Scopus subject areas

UN SDGs

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