Generalized predictive control using Takagi-Sugeno fuzzy models

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.

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