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 …

This paper introduces a new control strategy for robot manipulators, specifically designed to
tackle the challenges associated with traditional model-based sliding mode (SM) controller …

Given the increased significance of electric vehicles in recent years, this study aimed to
develop a novel form of direct yaw-moment control (DYC) to enhance the driving stability of …

This paper proposes a fixed-time neural network-based prescribed performance control
method (FNN-PPCM) for robot manipulators. A fixed-time sliding mode controller (SMC) is …

Many terminal sliding mode controllers (TSMCs) have been suggested to obtain exact
tracking control of robotic manipulators in finite time. The ordinary method is based on …

Robotic systems with force sensing have great potential for use in radioactive environments.
In this study, a modified observer-based method was developed to calculate the unknown …

Our article mainly focuses on dealing with several limitations of conventional sliding mode
control (SMC), proportional-integral-derivative SMC (PID-SMC), and integral SMC (ISMC) for …

An observer-based fixed-time sliding mode controller for a class of second-order nonlinear
systems under matched uncertainties and disturbances is proposed and applied to robot …

Lateral instability issues such as sharp turns or emergency obstacle avoidance in extreme
driving scenarios were solved using direct yaw moment control (DYC). The DYC method …