On the interpretation and identification of dynamic Takagi-Sugenofuzzy models

Johansen, T.A., Shorten, R. and Murray-Smith, R. (2000) On the interpretation and identification of dynamic Takagi-Sugenofuzzy models. IEEE Transactions on Fuzzy Systems, 8(3), pp. 297-313. (doi: 10.1109/91.855918)



Publisher's URL: http://dx.doi.org/10.1109/91.855918


Dynamic Takagi-Sugeno fuzzy models are not always easy to interpret, in particular when they are identified from experimental data. It is shown that there exists a close relationship between dynamic Takagi-Sugeno fuzzy models and dynamic linearization when using affine local model structures, which suggests that a solution to the multiobjective identification problem exists. However, it is also shown that the affine local model structure is a highly sensitive parametrization when applied in transient operating regimes. Due to the multiobjective nature of the identification problem studied here, special considerations must be made during model structure selection, experiment design, and identification in order to meet both objectives. Some guidelines for experiment design are suggested and some robust nonlinear identification algorithms are studied. These include constrained and regularized identification and locally weighted identification. Their usefulness in the present context is illustrated by examples.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Murray-Smith, Professor Roderick
Authors: Johansen, T.A., Shorten, R., and Murray-Smith, R.
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
College/School:College of Science and Engineering > School of Computing Science
Journal Name:IEEE Transactions on Fuzzy Systems
Publisher:Institute of Electrical and Electronics Engineers (IEEE)
Copyright Holders:Copyright © 2000 Institute of Electrical and Electronics Engineers (IEEE)
First Published:First published in IEEE Transactions on fuzzy systems 8(3):297-313
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

University Staff: Request a correction | Enlighten Editors: Update this record