A hybrid control framework is proposed as an alternative for long time delays in chemical
processes. The hybrid approach mixes the numerical methods in an internal mode control …

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 …

In this paper, the conceptualization of a control hardware architecture aimed to the
implementation of integer-and fractional-order identification and control algorithms is …

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 …

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 …

This paper proposes a hybrid control framework based on internal model concepts, sliding
mode control methodology, and fractional-order calculus theory. As a result, a modified …

In this paper, an analytical procedure to identify a fractional-first order plus dead time
(FFOPDT) model is presented. This procedure is applied to processes with overdamped or …

This study uses a fractional FOPDT model of the actual process to create a fractional sliding
mode controller. Nonlinear chemical processes may be studied using the new methodology …

The present work shows the application of a new controller based on combining the
fractional order calculus concepts with the sliding mode theory to a non-linear system with …

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