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

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 …

This study explores the incorporation of time-varying sign gain into a parallel iterative
learning control (ILC) architecture, augmented by an expert system, to enhance the …

Two main domains have been followed; joint space control and operational (task) space
control for robot manipulators. Task space control is simpler than joint space control as it …

Iterative learning control enables high precision performance through observed historical
data in previous iterations. Several techniques for designing iterative learning controllers …

Parameters uncertainties and disturbances broadly exist in robotic arms, especially for the
flexible joint system in the process of manipulator movement, which terribly deteriorate …

One of the exciting development in the recent decades has been the capacity to teach robots
using Rein-forcement Learning (RL) techniques to execute certain tasks. Deep Deterministic …