The robust periodic trajectory tracking problem is tackled by employing acceleration
feedback in a hybrid learning-adaptive controller for n-rigid link robotic manipulators subject …

An adaptive learning tracking control scheme is developed for robotic manipulators by a
synthesis of adaptive control and learning control approaches. The proposed controller …

This paper address the output feedback learning tracking control problem for robot
manipulators with repetitive desired joint level trajectories. Specifically, an observer-based …

In this chapter, several different robotic applications are examined. Given that a myriad of
industrial applications require robots to perform repetitious tasks (eg, assembly …

This paper addresses the problem of designing a global, output error feedback based,
adaptive learning control for robotic manipulators with revolute joints and uncertain …

This paper proposes a new hybrid adaptive and learning control method based on
combining model-based adaptive control, repetitive learning control (RLC) and proportional …

In this paper, a neural network-based adaptive iterative learning control scheme is
developed to solve the trajectory tracking problem for rigid robot manipulators with arbitrary …

In this work, we present a novel iterative learning control (ILC) scheme for a class of joint
position constrained robot manipulator systems with both multiplicative and additive actuator …

This article presents a novel adaptive composite learning (ACL) control strategy combining
reinforcement learning and a disturbance observer (DOB) to address vibration issues in a …

In this paper, a novel error-tracking adaptive iterative learning control scheme is proposed to
solve trajectory-tracking problem for a class of robot manipulators with time-varying …