Abstract
Since the appearance of VHDL, the design of large blocks of digital circuits is possible at a reasonable cost. The advantages of these high level languages are obvious; among them, they increase the chances of design automation. This paper present a tool aimed at automating the design of digital neural and fuzzy controllers. Note that, in spite of the different neural and fuzzy structures proposed in the literature, only a few of them are used in real applications. Hence, the architecture of these controllers is repeated quite frequently, so that automation is possible. Automation significatively shortens the design time, and reduces design cost. Different tools have recently been proposed to automate the hardware design of neural and fuzzy controllers. Some of them use a digital approach [1], [2], an analog approach [3] or a mixed-signal approach [4].
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Carvajal, R.G., Echanova, M.A.A., Silgado, A.J.T., Franquelo, L.G. (1998). AFAN — A Tool for the Automatic Design of Digital and Analog Neuro-Fuzzy Controllers. In: Kandel, A., Langholz, G. (eds) Fuzzy Hardware. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-4090-8_4
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DOI: https://doi.org/10.1007/978-1-4615-4090-8_4
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