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 …

There have been significant interests and efforts in the field of impedance control on robotic
manipulation over last decades. Impedance control aims to achieve the desired mechanical …

In this article, finite-time-prescribed performance-based adaptive fuzzy control is considered
for a class of strict-feedback systems in the presence of actuator faults and dynamic …

Focusing on one class of nonlinear systems with input saturation, the adaptive fuzzy
dynamic event-triggered control problem is successfully solved. A dynamic event-triggered …

This article studies a tracking control problem for a class of stochastic nonlinear systems with
time-varying full-state constraints and asymmetric input saturation. Firstly, the Gauss Error …

In this paper, an adaptive controller design is studied for single-input–single-output (SISO)
nonlinear systems with parameter uncertainties and the systems are enforced to subject to …

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, the adaptive neural network (NN) tracking control problem is addressed for
robot manipulators subject to dead-zone input. The control objective is to design an adaptive …

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 …

In this article, the problem of finite-time adaptive fuzzy tracking control for multi-input and
multi-output (MIMO) nonlinear systems with input saturation is investigated. The new finite …