This paper presents a novel model-reference reinforcement learning algorithm for the
intelligent tracking control of uncertain autonomous surface vehicles with collision …

This brief proposes a new adaptive-robust control (ARC) architecture for a class of uncertain
Euler-Lagrange (EL) systems where the upper bound of the uncertainty satisfies linear in the …

This paper proposes a new adaptive-robust control (ARC) strategy for a tracking control
problem of a class of uncertain Euler-Lagrange systems. The proposed adaptive-robust time …

In this paper, an adaptive-robust control (ARC) strategy, christened as Adaptive Time-
delayed Sliding Mode Control (ATSMC) is presented for trajectory tracking control of a class …

In this paper, the tracking control problem of an Euler-Lagrange system is addressed with
regard to parametric uncertainties, and an adaptive-robust control (ARC) strategy …

This letter addresses the various practical design issues of a continuous-time time-delayed
control (TDC) and proposes a new controller to make the TDC more suitable and applicable …

In this paper, three challenges often encountered when upper limb rehabilitation robots are
integrated with impaired people are addressed. Firstly, estimation of Desired Intended …

In the quest to negotiate the inevitable effects of parametric and non-parametric
uncertainties in a system during a control task, researchers have broadly applied two …

This study addresses two issues about the interaction of the upper limb rehabilitation robot
with individuals who have disabilities. The first step is to estimate the human's target position …

A new adaptive robust control strategy, christened as Adaptive Time-delayed Robust Control
(ATRC) is presented in this paper for trajectory tracking control of a class of Euler-Lagrange …