Nonlinear disturbance observer-based backstep** finite-time sliding mode tracking control of underwater vehicles with system uncertainties and external …

S Liu, Y Liu, N Wang - Nonlinear Dynamics, 2017 - Springer
In this paper, a nonlinear disturbance observer-based backstep** finite-time sliding mode
control scheme for trajectory tracking of underwater vehicles subject to unknown system …

Observer-based adaptive fuzzy tracking control for strict-feedback nonlinear systems with unknown control gain functions

S Tong, X Min, Y Li - IEEE Transactions on Cybernetics, 2020 - ieeexplore.ieee.org
This article investigates the adaptive fuzzy output-feedback backstep** control design
problem for uncertain strict-feedback nonlinear systems in the presence of unknown virtual …

Robot learning system based on adaptive neural control and dynamic movement primitives

C Yang, C Chen, W He, R Cui… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
This paper proposes an enhanced robot skill learning system considering both motion
generation and trajectory tracking. During robot learning demonstrations, dynamic …

Adaptive neural network control of an uncertain robot with full-state constraints

W He, Y Chen, Z Yin - IEEE transactions on cybernetics, 2015 - ieeexplore.ieee.org
This paper studies the tracking control problem for an uncertain-link robot with full-state
constraints. The rigid robotic manipulator is described as a multiinput and multioutput …

Adaptive neural impedance control of a robotic manipulator with input saturation

W He, Y Dong, C Sun - IEEE Transactions on Systems, Man …, 2015 - ieeexplore.ieee.org
In this paper, adaptive impedance control is developed for an-link robotic manipulator with
input saturation by employing neural networks. Both uncertainties and input saturation are …

Observer-based fuzzy adaptive inverse optimal output feedback control for uncertain nonlinear systems

Y Li, X Min, S Tong - IEEE Transactions on Fuzzy Systems, 2020 - ieeexplore.ieee.org
In this article, an observer-based fuzzy adaptive inverse optimal output feedback control
problem is studied for a class of nonlinear systems in strict-feedback form. The considered …

Neural network control-based adaptive learning design for nonlinear systems with full-state constraints

YJ Liu, J Li, S Tong, CLP Chen - IEEE transactions on neural …, 2016 - ieeexplore.ieee.org
In order to stabilize a class of uncertain nonlinear strict-feedback systems with full-state
constraints, an adaptive neural network control method is investigated in this paper. The …

Observer-based adaptive backstep** consensus tracking control for high-order nonlinear semi-strict-feedback multiagent systems

CLP Chen, GX Wen, YJ Liu, Z Liu - IEEE transactions on …, 2015 - ieeexplore.ieee.org
Combined with backstep** techniques, an observer-based adaptive consensus tracking
control strategy is developed for a class of high-order nonlinear multiagent systems, of which …

Neural control of bimanual robots with guaranteed global stability and motion precision

C Yang, Y Jiang, Z Li, W He… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Robots with coordinated dual arms are able to perform more complicated tasks that a single
manipulator could hardly achieve. However, more rigorous motion precision is required to …

Adaptive consensus control for a class of nonlinear multiagent time-delay systems using neural networks

CLP Chen, GX Wen, YJ Liu… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
Because of the complexity of consensus control of nonlinear multiagent systems in state time-
delay, most of previous works focused only on linear systems with input time-delay. An …