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Nonlinear disturbance observer-based backstep** finite-time sliding mode tracking control of underwater vehicles with system uncertainties and external …
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 …
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 …
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
This paper proposes an enhanced robot skill learning system considering both motion
generation and trajectory tracking. During robot learning demonstrations, dynamic …
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 …
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 …
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 …
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
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 …
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
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 …
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
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 …
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
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 …
delay, most of previous works focused only on linear systems with input time-delay. An …