In recent years, numerous attempts have been made to integrate sliding mode control (SMC)
and neural networks (NN) in order to leverage the advantages of both methods while …

Recently, robotic manipulators have been playing an increasingly critical part in scientific
research and industrial applications. However, modeling of robotic manipulators is …

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 …

Robot manipulators are widely used in many fields and play a vital role in the assembly,
maintenance, and servicing of future complex in-orbit infrastructures. They are also helpful in …

This manuscript presents a bibliographic review on fractional-order control laws applied to
robotics manipulators, robot vehicles, man-robot systems, as well as biologically inspired …

The paper investigates a novel fractional-order Lyapunov-based robust controller based on
a fuzzy neural network (FNN) compensator for exoskeleton robotic systems. First, a finite …

Mild cognitive impairment (MCI) is a precursor to Alzheimer's disease. It is imperative to
develop a proper treatment for this neurological disease in the aging society. This …

The movement problems in lower extremities resulting from accidents, paralysis,
degenerative diseases, and elderly people with loss of mobility due to muscle weakness …

A novel robust adaptive fuzzy variable fractional-order sliding mode control (FVFOSMC)
strategy is proposed to suppress earthquake-induced vibrations on uncertain building …

This research presents work on control of a prosthetic arm using surface electromyography
(sEMG) signals acquired from triceps and biceps of fifteen healthy and four amputated …