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 …

Approximately eight decades ago, during World War II, the concept of intelligent robots
capable of independent arm movement began to emerge as computer science and …

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

In order to solve the trajectory tracking problem for robotic manipulators with dynamic
uncertainty, external disturbance and input saturation, a novel second-order sliding mode …

Motivated by the challenges associated with achieving rapid convergence and high
accuracy in tracking errors for-DOF uncertain hydraulic manipulators, this article delves into …

This paper presents an adaptive backstep**-based model-free control (BSMFC) for
general high-order nonlinear systems (HNSs) subject to disturbances and unstructured …

Due to the difficulty encountered in dealing with unstructured system dynamics with
unmeasured system state variables, this paper presents a novel observer-based neural …

The multi-degree of freedom (muti-DOF) manipulator system is a complex control system
with the strong coupling feature and high nonlinearity. In this paper, trajectory tracking …

Dynamic behaviour of the pneumatic muscle actuator (PMA) is conventionally modelled as a
pressure-based first-order equation under discrete loads, which cannot exactly describe its …

This paper is focused on the adaptive estimator-based super-twisting nonsingular fast
terminal sliding mode control of manipulator systems with false data injection (FDI) attacks …