In order to reduce the end position errors of robots performing repetitive motion tasks, an
adaptive iterative learning control algorithm of trajectory tracking was proposed. The …

To realize the automation of the shearer, one of the most important problems is the
automatic height adjustment of the shearer cutting-drum, namely, the accurate tracking of the …

Aiming to improve the anti-interference capability and trajectory tracking accuracy of the
robot control system that undertakes repetitive motion tasks, this work presents the trajectory …

Taking SCARA robot as the research object, an Adaptive Iterative Learning Control
algorithm is used to solve the problems of slow speed, large pose error and poor anti …

The real-time path-tracking control of Stewart platform (SP) is very difficult, because the six
links must be actuated and controlled simultaneously to track the desired trajectory. The …

The discrete dynamic kinematics models of two-wheeled mobile robot was constructed and
iterative learning control strategy was applied into this repeat motion plant, iterative learning …

For the repetitive motion control, inaccurate model, and other issues of industrial robots, this
article presents a novel control method that the proportion differentiation-type iterative …

Aiming at enhanced suppression of external disturbances and high-precision trajectory
tracking of parallel SCARA robot dedicating to fast pick-and-place operations, this work …

In this paper, an adaptive neural network sliding mode variable structure control strategy is
proposed for the motion control of a nonholonomic mobile robot. Firstly, the pose tracking …

The manipulator control system is a dynamic system with the stronger nonlinear coupling
feature and the higher position repetitive precision. In order to solve the problems of quickly …