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Modelling and implementation of fuzzy systems based on VHDL

机译:基于VHDL的模糊系统建模与实现

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摘要

The number of electronic applications using fuzzy logic-based solutions has increased considerably in the last few years. Concurrently, new CAD tools that explore different implementation technologies for this type of systems have been developed. In this paper we illustrate a fuzzy logic system design strategy based on a high level description. Employing this high level description, the knowledge base is translated to a format in appearance close to the natural language with the particularity that it uses a hardware description language (VHDL) directly synthesizable on an FPGA circuit. In addition, we analyze different approaches for FPGA implementations of fuzzy systems in order to characterize them in terms of area and speed. Among them, the use of specific processing architectures implemented on FPGAs presents as main advantages a good "cost-performance" ratio and an acceptably short development time. The different synthesis facilities provided by the Xfuzzy design environment for the implementation of programmable fuzzy systems, which take advantage of the available resources in the current FPGA families, are also analyzed in this paper.
机译:在最近几年中,使用基于模糊逻辑的解决方案的电子应用程序的数量已大大增加。同时,已经开发了探索这种类型系统的不同实现技术的新CAD工具。在本文中,我们基于高级描述说明了模糊逻辑系统的设计策略。利用这种高级描述,知识库被转换为外观接近自然语言的格式,其特殊之处在于它使用可直接在FPGA电路上合成的硬件描述语言(VHDL)。此外,我们分析了模糊系统的FPGA实现的不同方法,以便根据面积和速度来表征它们。其中,使用在FPGA上实现的特定处理架构的主要优势是良好的“性价比”比率和可接受的较短开发时间。本文还分析了Xfuzzy设计环境为实现可编程模糊系统而提供的各种综合设施,这些设施利用了当前FPGA系列中的可用资源。

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