Abstract
This paper presents an algorithm for constructing fuzzy models in linear state subspaces from the nonlinear MIMO dynamic model of plants whose operating points are not defined within the permissible physical range for the system. It is based on the fuzzy Takagi-Sugeno-Kang model and Kawamoto's ideas of non-linearity sectors. The relevant functions in the antecedent are modeled with linear functions, while functions model the consequent in Discrete State Space. The application of the algorithm to the model of a thermoelectric plant widely studied in the specialized literature is discussed.
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