Fuzzy logic control was originally introduced and developed as a model free control design
approach. However, it unfortunately suffers from criticism of lacking of systematic stability …

Abstract Though Center of Gravity (CoG) defuzzification is a well-known and long-standing
method in the history of fuzzy systems, because of its computational complexity, its use in the …

Though over the years, mathematical modelling of fuzzy PID controllers is carried out
extensively with two-dimensional and three-dimensional input spaces, the modelling is …

This paper presents a new framework for the design of generic two-degree-of-freedom (2-
DOF), linear and fuzzy, controllers dedicated to a class of integral processes specific to …

A design method for fuzzy proportional-integral-derivative (PID) controllers is investigated in
this study. Based on conventional triangular membership functions used in fuzzy inference …

The article describes a bio-inspired approach to the structural and parametric design of
microwave circuits based on a genetic algorithm (GA), which permits algorithmic …

This paper presents a practical network platform to design and implement a networked-
based cascade control system linking a Smar Foundation Fieldbus (FF) controller (DFI-302) …

Over the last three decades, finding the mathematical models of fuzzy controllers has
become an interesting area of research in the control community. The mathematical model …

Evolutionary algorithms are one of the most common choices reported in the literature for the
tuning of fuzzy logic controllers based on either type-1 or type-2 fuzzy systems. An …

This paper presents two new mathematical models of the simplest fuzzy PID controller which
employ two fuzzy sets (negative and positive) on each of the three input variables (error …