In this paper, robust and adaptive nonsingular fast terminal sliding-mode (NFTSM) control
schemes for the trajectory tracking problem are proposed with known or unknown upper …

In this article, an adaptive optimized control scheme based on neural networks (NNs) is
developed for a class of perturbed strict-feedback nonlinear systems. An optimized …

In this paper, adaptive control schemes are proposed for the trajectory tracking control of a
free-flying space manipulator with guaranteed prescribed performance in the presence of …

Underactuated robotic systems have become an important research topic aiming at
significant improvement of the behavioural performance and energy efficiency. Adopting …

To achieve robust finite-time trajectory tracking control, this paper proposes a novel neural-
network-based nonsingular fast terminal sliding mode (NFTSM) control strategy for n-link …

Quadrotor unmanned aerial vehicle (UAV) is an underactuated multi-input and multi-output
(MIMO) system which has nonlinear dynamic behavior such as high coupling degree and …

Aiming at the problem of convergence speed and chattering in sliding mode variable
structure control of manipulator, an improved exponential reaching law and nonlinear sliding …

This paper presents a composite adaptive backstepping robust tracking controller which
aims to improve the lateral dynamics stability for an electric vehicle (EV) while considering …

This paper presents finite-time sliding mode control (FSMC) with predefined constraints for
the tracking error and sliding surface in order to obtain robust positioning of a robot …

A robust adaptive control method is systematically proposed in this paper to significantly
reduce the relatively tracking errors of 6 degree of freedom (DOF) industrial robots under …