The simplicity, transparency, reliability, high efficiency and robust nature of PID controllers
are some of the reasons for their high popularity and acceptance for control in process …

Abstract Direct Torque Control (DTC) presents an optimal solution to control the behaviors of
the alternative motors, compared to other controls, because of several advantages offered …

Multi-objective optimization has been adopted in many engineering problems where a set of
requirements must be met to generate successful applications. Among them, there are the …

Abstract The Expected Hypervolume Improvement (EHVI) is a frequently used infill criterion
in Multi-Objective Bayesian Global Optimization (MOBGO), due to its good ability to lead the …

Industrial automation is a multi-disciplinary study field that is constantly evolving. This
research proposes IoT-based real-time liquid level monitoring and control in a single tank …

This article presents an automated, model-free, data-driven method for the safe tuning of PID
cascade controller gains based on Bayesian optimization. The optimization objective is …

An autodisturbance-rejection control (ADRC) of an induction motor based on an ant colony
optimization (ACO) algorithm is proposed in this paper, in order to realize the precise …

In this article, a multiscenario parameter optimization method for an active disturbance
rejection controller (ADRC) of a permanent magnet synchronous motor (PMSM) based on …

The growing interest in wind power as a source of electric power generation with minimal
environmental impact and the advancement of aerodynamic designs, including wind …

In this paper, an optimal gain tuning method for PID controllers is proposed using a novel
combination of a simplified Ant Colony Optimization algorithm and Nelder–Mead method …