Fuzzyfied Robust Fixed Point Transformations

Nowadays Fuzzy Logic Controllers (FLC) are getting more and more prevalent because of their friendly formalism and capability of using heuristic information. In many cases, traditional controllers are replaced with fuzzy techniques because they can handle systems with highly nonlinear or partly unknown models. The family of Robust Fixed Point Transformations (RFPT) has been partly developed to solve control tasks without knowing the exact parameters of the used model. This makes RFPT suitable to combine with Fuzzy Controllers resulting in the improvement of the performance of FLC. In this paper, a new RFPT-based Fuzzy Logic Controller is introduced on a cart-pendulum system. The simulations show that the more extreme situations we pick the more significantly the built-in RFPT can improve the Fuzzy Logic Controller´s results.