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Generalized predictive control using Takagi-Sugeno fuzzy models

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2 Author(s)
Hadjili, M.L. ; Centre for Syst. Eng. & Appl. Mech., Univ. Catholique de Louvain, Belgium ; Wertz, V.

Predictive control was first developed to control linear time invariant plants described by ARIMAX models. The extension of this control strategy to the case when the behavior of the plant is nonlinear and modeled by a Takagi-Sugeno fuzzy model is considered. This kind of nonlinear model is locally linear and the GPC technique can be extended as a parallel distributed controller

Published in:

Intelligent Control/Intelligent Systems and Semiotics, 1999. Proceedings of the 1999 IEEE International Symposium on

Date of Conference:

1999