This paper proposes a barrier function-based adaptive control strategy with a nonlinear
sliding surface for a class of uncertain dynamic systems with input saturation. Its main …

EPS systems provide superior efficiency compared to mechanical steering systems. Steering
feel and comfort are supported by an electric motor, which is controlled by an appropriate …

The chaotic synchronization is mainly hampered by uncertain system dynamics in terms of
underlying parameters. To obtain accurate parameter estimates for the proper …

The significant role for a contemporary control algorithm in the position control of a
permanent magnet linear motor (PMLM) system is highlighted by the rigorous standards for …

This study proposes the adaptive continuous barrier function as the fractional‐order control
system using the terminal sliding mode control technique with chattering‐free property to …

Supply chains face various uncertainties due to the dynamic and unstable nature of today's
worldwide market. Introducing these uncertainties to both the upstream and downstream …

Achieving accurate position tracking for robotics and industrial servo systems is an
extremely challenging task, particularly when dealing with control saturation, parameter …

A new adaptive iterative learning control (AILC) scheme is proposed to solve the finite-time
hybrid function projective synchronization (HFPS) problem of chaotic systems with unknown …

This article investigates the energy management and control of a fuel cell hybrid electric
vehicle (FCHEV) with parametric uncertainties and sensor faults. The FCHEV in this study …

The paper introduces a novel 2-dimensional 2× 2 space-invariant cellular neural network
(CNN) architecture, employing a current-controlled memristor to replace the resistor in one …