Robots are used for many manufacturing tasks, and its prevalence in manufacturing is ever-
increasing. Robots in future manufacturing are expected to be valuable and essential tools …

This paper investigates a novel coupling-based mixed interval type-2 fuzzy logic controller
(MIT2FLC) for trajectory tracking problems of highly nonlinear and complex robot …

In this paper, a novel hybrid Neural Network Algorithm-Differential Evolution (NNA-DE)
optimizer which integrates both NNA and DE is proposed. The proposed hybrid NNA-DE …

Significant payload variations often occur in many practical tasks for robotic applications. But
its adequate control is a formidable challenge to control designers, and previous research …

In this paper, two non-singleton interval type-2 fuzzy PID (NIT2F-PID) controllers for the high
precision electro-optical tracking system (ETS) are presented to improve anti-interference …

In pandemic times, the remote and automatic control/observation of physiological variables
of the patients is the prime necessity for healthcare technologies. The closed-loop regulation …

Abstract Background and Objective The main aim of this work is to present an optimal and
robust controller design in order to improve the drug infusion to the automatic control of …

The objective of this work is to design a neuro-fuzzy compensated PID control for passive
gait rehabilitation using a lower extremity exoskeleton system. A prototype of 6-DOFs …

The main objective of this research work is to propose an effective, robust, optimal and
oscillation free controller for automatic drug infusion in mean arterial blood pressure (MAP) …

In this paper, we present neuro-fuzzy cognitive map (NFCM) to control a non-holonomic
wheeled mobile robot, for both the kinematic control and the dynamic control. For this …