Hardware implemented adaptive neuro fuzzy system

Abstract

In the paper the implementation on reconfigurable hardware of a Sugeno type neuro adaptive fuzzy inference system is proposed to be presented. The pipeline and parallel pipeline architecture play an important role in modelling the algorithm for the FPGA based implementation. In order to design the pipeline-parallel model of the controller two different methods were used: high level synthesis tool respectively System Generator. Some of the inference systems sub-modules were implemented in VHDL. The proposed hardware model's processing speed is very high, allows the controller to be used in real-time applications.