Intelligent techniques foster the dissemination of new discoveries and novel technologies
that advance the ability of robots to assist and support humans. The human-centered …

Neural network technologies have taken center stage owing to their powerful computing
capability for supporting deep learning in artificial intelligence. However, conventional …

This paper investigates adaptive fuzzy neural network (NN) control using impedance
learning for a constrained robot, subject to unknown system dynamics, the effect of state …

In this paper, we investigate the trajectory tracking problem for a fully actuated autonomous
underwater vehicle (AUV) that moves in the horizontal plane. External disturbances, control …

As a type of indispensable oceanic transportation tools, ship-mounted crane systems are
widely employed to transport cargoes and containers on vessels due to their extraordinary …

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 …

In this paper, a full-regulated neural network (NN) with a double hidden layer recurrent
neural network (DHLRNN) structure is designed, and an adaptive global sliding-mode …

In this paper, we consider the trajectory tracking of a marine surface vessel in the presence
of output constraints and uncertainties. An asymmetric barrier Lyapunov function is …

In this paper, a neural network (NN) controller is designed to suppress the vibration of a
flexible robotic manipulator system with input deadzone. The NN aims to approximate the …

In this paper, a novel control scheme is developed for a teleoperation system, combining the
radial basis function (RBF) neural networks (NNs) and wave variable technique to …