Adaptive neural-network boundary control for a flexible manipulator with input constraints and model uncertainties

Y Ren, Z Zhao, C Zhang, Q Yang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article develops an adaptive neural-network (NN) boundary control scheme for a
flexible manipulator subject to input constraints, model uncertainties, and external …

Boundary disturbance observer-based control of a vibrating single-link flexible manipulator

Z Zhao, X He, CK Ahn - IEEE Transactions on Systems, Man …, 2019 - ieeexplore.ieee.org
This paper examines the boundary disturbance observer-based control for a vibrating single-
link flexible manipulator system possessing external disturbances. Two new boundary anti …

Finite-time convergence disturbance rejection control for a flexible Timoshenko manipulator

Z Zhao, Z Liu - IEEE/CAA Journal of Automatica Sinica, 2020 - ieeexplore.ieee.org
This paper focuses on a new finite-time convergence disturbance rejection control scheme
design for a flexible Timoshenko manipulator subject to extraneous disturbances. To …

Dead zone compensation and adaptive vibration control of uncertain spatial flexible riser systems

Z Zhao, CK Ahn, HX Li - IEEE/ASME Transactions on …, 2020 - ieeexplore.ieee.org
This article provides a framework of dead zone compensation and robust adaptive vibration
control for uncertain spatial flexible riser systems. First, nonsymmetric dead zone …

Boundary antidisturbance control of a spatially nonlinear flexible string system

Z Zhao, CK Ahn, HX Li - IEEE Transactions on Industrial …, 2019 - ieeexplore.ieee.org
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 …

Adaptive bias RBF neural network control for a robotic manipulator

Q Liu, D Li, SS Ge, R Ji, Z Ouyang, KP Tee - Neurocomputing, 2021 - Elsevier
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 …

Neural-network-based sliding-mode control of an uncertain robot using dynamic model approximated switching gain

C Liu, G Wen, Z Zhao… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
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 …

Hybrid finite-time trajectory tracking control of a quadrotor

N Wang, Q Deng, G **e, X Pan - ISA transactions, 2019 - Elsevier
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) …

Adaptive neural network control for a hydraulic knee exoskeleton with valve deadband and output constraint based on nonlinear disturbance observer

Y Yang, Y Li, X Liu, D Huang - Neurocomputing, 2022 - Elsevier
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 …

Finite-time fault-tolerant trajectory tracking control of an autonomous surface vehicle

N Wang, X Pan, SF Su - Journal of the Franklin Institute, 2020 - Elsevier
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 …