A fuzzy rule interpolation base algorithm implementation on different platforms

Abstract

This paper analyses a fuzzy rule interpolation method implemented on different platforms. Fuzzy rule interpolation based control systems play a major role in robot control and have several kinds of implementations. The fuzzy control applications based on fuzzy rule interpolation with the contributions made by Johanyak Cs. [7], allowed the implementation of several fuzzy models. In fuzzy control applications the real environment the complete rule base is not always available due to real manner and performance issues. In these cases, based on a sparse rule base fuzzy model the conclusion is interpolated using only the available surrounding rules (Kovacs Sz.) [6]. If the rule base is extended or modified during the control evolution then there a method should exist to modify the rule base. For this is need evolvable- or run time reconfigurable hardware.