Fuzzy logic based inference techniques provide efficient solution for control problems in
engineering applications. However due to lack of systematic approaches for hardware …

Hardware implementation of algorithms is always considered to accelerate them. Fuzzy
inference system (FIS) is applicable when the mathematical description of a system is …

The purpose of this work is to investigate the construction of fuzzy embedded control
systems combining fast execution and parallel processing capabilities provided by Field …

Fuzzy logic has emerged as an efficient strategy to develop accurate nonlinear controllers.
This work presents a novel design methodology of dual-input single-output fuzzy logic …

A large numbers of fuzzy control applications with the physical systems require a real-time
operation to interface high speed constraints; higher density programmable logic devices …

Recently, there has been increased use of fuzzy logic in control applications. The kernel of a
fuzzy logic controller (FLC) is a fuzzy inference engine which includes the knowledge base …

Fuzzy Logic Controller (FLC) systems have emerged as one of the most promising areas for
Industrial Applications. The highly growth of fuzzy logic applications led to the need of …

Essence of the paper is to combine fuzzy logic and neural networks together, obtaining a
robust, hardware friendly neuro-fuzzy controller suitable for real time application. Here, a …

Fuzzy logic based control systems provide a simple and efficient method to control highly
complex and imprecise systems. However, the lack of a simple hardware design that is …

The growth of fuzzy logic applications led to the need of finding efficient ways to implement
them. The FPGAs (Field Programmable Gate Arrays) are reconfigurable logic devices that …