The industrial sector is nowadays experiencing a digital transformation motivated by the
Industry 4.0 paradigm. Concepts such as data-driven models, Artificial Neural Networks …

This work proposes two control feedback-feedforward algorithms, based on fuzzy logic in
combination with neural networks, aimed at reducing the tracking error and improving the …

The present study discusses an optimal design method of a proportional integral derivative
(PID) control system for a continuous-time second-order plus dead-time system (SOPDT) …

The predictive PI control algorithm can handle time delay systems well, but still suffers from
poor control and weak anti‐interference ability when facing large inertia and large lag links …

Abstract Proportional‐integral‐derivative (PID) control is one of the most widely used
feedback control strategies because of its ability to follow step commands and reject …

This paper presents the application of a value-set-based graphical approach to robust
stability analysis for the ellipsoidal families of fractional-order polynomials with a complex …

In this paper, we address the design of data-based Artificial Neural Networks (ANN)
controllers. More specifically, we consider a scalable design based on a Transfer Learning …

El controlador PID es la opción más común en el ámbito de las aplicaciones de control,
siendo la opción predominante en el control de procesos industriales. Entre los métodos …

In the last years, the industrial digitalisation and the Industry 4.0 paradigm is no longer a
fairy-tale but a reality. It is becoming more common to find industrial environments relying …

The study proposes a novel method for synthesis of a discrete-time parallel distributed
compensation (PDC) controller for the nonlinear discrete-time Takagi–Sugeno (TS) fuzzy …