Ultra-Efficient Fuzzy Min/Max Circuits Based on Carbon Nanotube FETs

Abstract

To implement a fuzzy system, the first and the most essential step is to design basic fuzzy modules such as analog min and max circuits. This paper presents efficient minimum and maximum circuits using carbon nanotube FETs (CNTFETs) for nanotechnology-based fuzzy circuits and systems. The proposed approach considerably reduces the design complexity in the fuzzy space. In the proposed design, the chirality of carbon nanotubes is utilized for threshold voltage determination. Extensive simulations conducted using HSPICE and the Stanford CNTFET model at 16 nm feature size demonstrate that the proposed fuzzy logic blocks considerably improve the performance parameters and function much more robustly even in the presence of process variations, as compared to their CNTFET-based counterparts.