The adoption of electric vehicles promises numerous benefits for modern society. At the
same time, there remain significant hurdles to their wide distribution, primarily related to …

Some information and knowledge are usually represented by human language like “about
100km”,“approximately 39° C”,“roughly 80kg”,“low speed”,“middle age”, and “big size”. How …

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 …

A novel fractional order (FO) fuzzy Proportional-Integral-Derivative (PID) controller has been
proposed in this paper which works on the closed loop error and its fractional derivative as …

This paper proposes an optimal fuzzy proportional–integral–derivative (PID) controller
design based on conventional PID control and nonlinear factors. With the equivalence …

An optimal PID and an optimal fuzzy PID have been tuned by minimizing the Integral of Time
multiplied Absolute Error (ITAE) and squared controller output for a networked control …

The aim of this study is to examine various studies on fuzzy PID controllers in literature and
to classify these fuzzy controllers into categories. There exist three major categories: Direct …

In this paper, a self tuning fuzzy PID type controller is proposed for solving the load
frequency control (LFC) problem. The fuzzy PID type controller is constructed as a set of …

A function-based evaluation approach is proposed for a systematic study of fuzzy
proportional-integral-derivative (PID)-like controllers. This approach is applied for deriving …

This correspondence presents a new approach that utilizes evolutionary computation and
proportional-integral differential (PID) control to a multi-input multioutput (MIMO) nonlinear …