In order to control or operate any system in a closed-loop, it is important to know its behavior
in the form of mathematical models. In the last two decades, a fractional-order model has …

This study introduces a novel method for identifying dynamic systems aimed at deriving
reduced-fractional-order models. Applicable to processes exhibiting an S-shaped step …

Fractional order controller design with a small number of tuning parameters is very attractive.
Few attempts have been done recently for some limited cases of models. In this paper, a …

The aim of this paper is to provide a survey on the recently obtained results which are useful
in time response analysis of fractional-order control systems. In this survey, at first some …

A simple approach with a small number of tuning parameters is a key goal in fractional order
controller design. Recently there have been a number of limited attempts to bring about …

This paper investigates the Sundaresan technique for modeling fractional order systems.
Sundaresan, Prasad, and Krishnaswamy published this method in 1978 for modeling …

This paper presents a new method for identifying dynamical systems to get fractional-
reduced-order models based on the process reaction curve. This proposal uses information …

The association of cancer and immune cells has complex nature and produces chaotic
behavior when it is simulated. The newly introduced operators which combine the fractal …

This study deals with a generalised version of lead/lag compensators known as fractional‐
order lead/lag compensators. Exact and simple formulas are found for designing this …

This paper aims to present a general identification procedure for fractional first-order plus
dead-time (FFOPDT) models. This identification method is general for processes having S …