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Fuzzy rule interpolation in embedded behaviour-based control

Fuzzy Rule Interpolation (FRI) methods are efficient structures for knowledge representation with relatively few rules. In spite of the good knowledge representation efficiency, the usually high computational demand turns the FRI methods hardly suitable for embedded real-time applications, where the short reasoning time has a high importance. On the other hand the fact of increasing computational power of nowadays available devices gives an opportunity to the FRI methods for appearance in real-time embedded applications. The goal of this paper is to introduce the benefit of adapting low computational and resource demanded FRI methods in embedded behavior-based control applications.