H system identification algorithm applied to Tokamak modelling

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

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)


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 languageEnglish
Pages (from-to)3685-3690
Number of pages6
JournalProceedings of the IEEE Conference on Decision and Control
Publication statusPublished - 1997
Externally publishedYes
EventProceedings of the 1997 36th IEEE Conference on Decision and Control. Part 1 (of 5) - San Diego, CA, USA
Duration: 10 Dec 199712 Dec 1997

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization


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