Adaptive neural-network boundary control for a flexible manipulator with input constraints and model uncertainties
This article develops an adaptive neural-network (NN) boundary control scheme for a
flexible manipulator subject to input constraints, model uncertainties, and external …
flexible manipulator subject to input constraints, model uncertainties, and external …
Boundary disturbance observer-based control of a vibrating single-link flexible manipulator
This paper examines the boundary disturbance observer-based control for a vibrating single-
link flexible manipulator system possessing external disturbances. Two new boundary anti …
link flexible manipulator system possessing external disturbances. Two new boundary anti …
Finite-time convergence disturbance rejection control for a flexible Timoshenko manipulator
This paper focuses on a new finite-time convergence disturbance rejection control scheme
design for a flexible Timoshenko manipulator subject to extraneous disturbances. To …
design for a flexible Timoshenko manipulator subject to extraneous disturbances. To …
Dead zone compensation and adaptive vibration control of uncertain spatial flexible riser systems
This article provides a framework of dead zone compensation and robust adaptive vibration
control for uncertain spatial flexible riser systems. First, nonsymmetric dead zone …
control for uncertain spatial flexible riser systems. First, nonsymmetric dead zone …
Boundary antidisturbance control of a spatially nonlinear flexible string system
The aim of this article is to establish a novel boundary antidisturbance control to dampen the
oscillation of a spatially nonlinear flexible string system influenced by unknown …
oscillation of a spatially nonlinear flexible string system influenced by unknown …
Adaptive bias RBF neural network control for a robotic manipulator
Considering the bias of the dynamics which is a global trend of the dynamical equation of a
robot manipulator because of the gravity or the constant payloads, two kinds of adaptive bias …
robot manipulator because of the gravity or the constant payloads, two kinds of adaptive bias …
Neural-network-based sliding-mode control of an uncertain robot using dynamic model approximated switching gain
In this article, a new neural-network-based sliding-mode control (SMC) of an uncertain robot
is presented. The distinguishing characteristic of the proposed control scheme is that the …
is presented. The distinguishing characteristic of the proposed control scheme is that the …
Hybrid finite-time trajectory tracking control of a quadrotor
In this paper, accurate trajectory tracking control problem of a quadrotor with unknown
dynamics and disturbances is addressed by devising a hybrid finite-time control (HFTC) …
dynamics and disturbances is addressed by devising a hybrid finite-time control (HFTC) …
Adaptive neural network control for a hydraulic knee exoskeleton with valve deadband and output constraint based on nonlinear disturbance observer
This paper presents a novel disturbance observer-based adaptive neural network control for
a hydraulic knee exoskeleton with valve deadband and output constraint. Adaptive neural …
a hydraulic knee exoskeleton with valve deadband and output constraint. Adaptive neural …
Finite-time fault-tolerant trajectory tracking control of an autonomous surface vehicle
In this paper, finite-time fault-tolerant control (FTC) for trajectory tracking of an autonomous
surface vehicle (ASV) is solved. Main contributions are summarized as follows:(1) a finite …
surface vehicle (ASV) is solved. Main contributions are summarized as follows:(1) a finite …