[hal-01188350] Identification of an output error Takagi-Sugeno model

The identification of a TS model with output error local models is considered. The premise part of the TS model is assumed to be described by a lattice partition. The main problem involved is the determination of the premise variables, the associated number of modalities and the structure of the local models. The premise optimisation is solved by a forward approach and the structure of the local models are further refined using a pruning technique. The application of the overall procedure on a simulation example is reported.

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