In this article, the adaptive finite-time tracking control is studied for state constrained
stochastic nonlinear systems with parametric uncertainties and input saturation. To this end …

This article focuses on the tracking control issue of robotic systems with dynamic
uncertainties. To enhance tracking accuracy in a robotic manipulator with uncertainties, an …

In this paper, we investigate fuzzy neural network (FNN) control using impedance learning
for coordinated multiple constrained robots carrying a common object in the presence of the …

The control problem of an uncertain n-degrees of freedom robotic manipulator subjected to
time-varying output constraints is investigated in this paper. We describe the rigid robotic …

This paper studies the problem of adaptive tracking control for a class of uncertain nonlinear
systems with input quantization, external disturbances and actuator faults. It is assumed that …

In this paper, an adaptive neural bounded control scheme is proposed for an n-link rigid
robotic manipulator with unknown dynamics. With the combination of the neural …

Nowadays, the control technology of the robotic manipulator with flexible joints (RMFJ) is not
mature enough. The flexible-joint manipulator dynamic system possesses many …

This paper is concerned with the problem of global output-feedback control for a class of
stochastic nonlinear time-delay systems in the presence of input saturation and …