In this paper, the tracking control problem of uncertain Euler–Lagrange systems under
control input saturation is studied. To handle system uncertainties, a leakage-type (LT) …

This paper presents the results for model-independent control of uncertain n-degree of
freedom robotic manipulators in the presence of external disturbances and backlash …

This article proposes an adaptive fuzzy neural network (NN) command filtered impedance
control for constrained robotic manipulators with disturbance observers. First, barrier …

Dynamic movement primitives (DMPs) have been widely applied in robot motion planning
and control. However, in some special cases, original discrete DMP fails to generalize …

This paper investigates the problem of resilient fault-tolerant control for a class of Takagi-
Sugeno fuzzy model which is described by fractional order differential equations. In …

In this paper, a neural network (NN)-based adaptive hybrid impedance control (AHIC)
scheme is proposed for the electrically driven flexible-joint robotic manipulators (EDFJRM) …

This study proposes two novel prescribed performance terminal sliding surfaces (PPTSSs)
to address the fixed time stable bilateral teleoperation issue for a class of underwater …

This paper develops a robust adaptive neural practical fixed-time tracking control scheme for
Euler-Lagrange systems (ELSs) with unknown dynamics and external disturbances under …

This paper investigates the robust control for the Euler‐Lagrange (EL) system with input
saturation by using the integral sliding mode control and adaptive control. An integral sliding …

It is challenging to achieve compliant operation in tight interaction tasks, where closed-loop
constraints are formed between the robots or between a robot and the environment …