This research introduces a dual design proportional–integral–derivative (PID) controller
architecture process that aims to improve system performance by reducing overshoot and …

In this study, a method for optimizing membership function tuning for fuzzy control of robotic
manipulators using PID-driven data techniques is presented. Traditional approaches for …

This study aims to develop an expert system implementation of P controller and fuzzy logic
controller to address issues related to improper control input estimation, which can arise …

The electric motor is a device that converts electrical power into mechanical power. The DC
motor has some advantages compared to the AC motor on its easier way to control the …

The research aims to develop documented empirical data to obtain a high-accuracy and
effective system according to a principal system as a model that represents the system for all …

Control systems are essential components in various applications, tracing back to the early
days of engineering. Accurate system modeling is crucial for understanding the physical …

This paper presents a new technique to design an inverse dynamic model for a delta robot
experimental setup to obtain an accurate trajectory. The input/output data were collected …

The study aimed to develop a non-invasive pulmonary vibration device, specifically tailored
for pediatric patients, to address a range of pulmonary conditions. The device employs a PID …

This paper introduces a new study for one-axis servomechanism with consideration the
parameter variation and system uncertainty. Also, a new approach for high-performance self …

The purpose of the research is tracking control to follow the input reference signal such as
step, ramp, parabolic, and high order reference stably. The challenge is rising when high …