Modelo Fuzzy Takagi-Sugeno. Analogia da identificação utilizando um sistema linear.

Abstract

This work proposes a concise elucidation of Takagi-Sugeno models, focusing on their development and evaluation in a linear process. The study highlights the relevance of fuzzy partitions and the optimization of local models. Using empirical data, the Fuzzy TS model is assessed for its ability to represent process dynamics, being compared to a recursive least squares model. The results show that the fuzzy TS model effectively represents the process, considering the errors captured in experimental trials.