An FPGA-based multiprocessor-architecture for intelligent environments

J. Echanobe, I. del Campo, K. Basterretxea, M.V. Martinez, Faiyaz Doctor

    Research output: Contribution to journalArticlepeer-review

    10 Citations (Scopus)


    In this paper we propose a SoPC-based multiprocessor embedded system for controlling ambiental parameters in an Intelligent Inhabited Environment. The intelligent features are achieved by means of a Neuro-Fuzzy system which has the ability to learn from samples, reason and adapt itself to changes in the environment or in user preferences. In particular, a modified version of the well known ANFIS (Adaptive Neuro-Fuzzy Inference System) scheme is used, which allows the development of very efficient implementations. The architecture proposed here is based on two soft-core microprocessors: one microprocessor is dedicated to the learning and adaptive procedures, whereas the other is dedicated to the on-line response. This second microprocessor is endowed with 4 efficient ad hoc hardware modules intended to accelerate the neuro-fuzzy algorithms. The implementation has been carried out on a Xilinx Virtex-5 FPGA and obtained results show that a very high performance system is achieved.
    Original languageEnglish
    Pages (from-to)730-740
    JournalMicroprocessors and Microsystems
    Issue number7
    Early online date27 Jul 2014
    Publication statusPublished - 2014

    Bibliographical note

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    • FPGA
    • intelligent environments
    • multiprocesssor
    • NeuroFuzzy
    • SoPC


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