HYBRID FUZZY MODEL OF NONLINEAR PLANT

Abstract

This paper presents predictive fuzzy modeling of nonlinear plant. Three different fuzzy models are presented, where the first one is synthesized using Mamdani type rule base, the second – Takagi-Sugeno type rule base. The experimental results show advantages and disadvantages of the presented models and their adequacy to the non-linear plant. A hybrid modeling approach was offered to eliminate the disadvantages of the Mamdani and the Takagi-Sugeno fuzzy models. The advantages of the hybrid model are experimentally proved and presented in this paper.