Paper
4 May 2009 Fuzzy logic and coarse coding using programmable logic devices
Author Affiliations +
Abstract
Naturally-occurring sensory signal processing algorithms, such as those that inspired fuzzy-logic control, can be integrated into non-naturally-occurring high-performance technology, such as programmable logic devices, to realize novel bio-inspired designs. Research is underway concerning an investigation into using field programmable logic devices (FPLD's) to implement fuzzy logic sensory processing. A discussion is provided concerning the commonality between bio-inspired fuzzy logic algorithms and coarse coding that is prevalent in naturally-occurring sensory systems. Undergraduate design projects using fuzzy logic for an obstacle-avoidance robot has been accomplished at our institution and other places; numerous other successful fuzzy logic applications can be found as well. The long-term goal is to leverage such biomimetic algorithms for future applications. This paper outlines a design approach for implementing fuzzy-logic algorithms into reconfigurable computing devices. This paper is presented in an effort to connect with others who may be interested in collaboration as well as to establish a starting point for future research.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Geoffrey Brooks "Fuzzy logic and coarse coding using programmable logic devices", Proc. SPIE 7321, Bio-Inspired/Biomimetic Sensor Technologies and Applications, 73210H (4 May 2009); https://doi.org/10.1117/12.819614
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KEYWORDS
Fuzzy logic

Sensors

Systems modeling

Biomimetics

Neurons

Programmable logic devices

Signal processing

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