Optical implementation of fuzzy logic based controllers

David Mendlovic*, Zeev Zalevsky, Eran Gur

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review


State of the art fuzzy-logic based control is mainly implemented using electronic hardware or computer software. This requires interpretation of fuzzy logic concepts such as membership functions and fuzzy based rules, all of which have been thoroughly studied. However, the 2-D light-speed abilities of optical processing enables direct implementation of dual-input fuzzy logic inference engines. The optical equivalent of the membership function is generated in a straightforward manner and the same applies to rule tables and combination rules. Diffractive optical elements allow these optical inference engines to be compact in size and high on efficiency. This is done by binary optics and phase-only elements. Using the 2-D work-plane of optics, the ability of simple control over the wavelength and the polarization of light and the properties of diffractive elements, such an engine can deal with higher order data and lead the way to fast and dynamic fuzzy inferencing.

Original languageEnglish
Pages (from-to)86-100
Number of pages15
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 2000
EventApplications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation III - San Diego, USA
Duration: 31 Jul 20001 Aug 2000


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