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MACRo 2015

Proceedings of the 5th International Conference on Recent Achievements in Mechatronics, Automation, Computer Sciences and Robotics

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2247-0948
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Hardware Implementation of a Neuro-Fuzzy Controller Using High Level Synthesis Tool

Tibor Tămas / Sándor Tihamér Brassai
Published Online: 2015-05-09 | DOI: https://doi.org/10.1515/macro-2015-0018

Abstract

The purpose of this work is to present the design flow and the implementation of a neuro-fuzzy controller Intellectual Property (IP) core, using High Level Synthesis (HLS) tool. The realized IP core is designed for FPGA based embedded system architectures. The implemented control algorithm is a Sugeno model based Adaptive Neuro-Fuzzy Inference System (ANFIS). The optimization possibilities using the HLS tool and the designing of the interfaces for the IP core are presented.

Keywords : ANFIS; FPGA HLS; Fuzzy; Adaptive; neuro-fuzzy

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About the article

Received: 2015-01-25

Revised: 2015-02-09

Published Online: 2015-05-09

Published in Print: 2015-03-01


Citation Information: MACRo 2015, ISSN (Online) 2247-0948, DOI: https://doi.org/10.1515/macro-2015-0018.

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© 2015. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. BY-NC-ND 3.0

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