Abstract. This paper proposes a new sliding mode controller using neural networks. Multilayer neural networks with the error back-propagation learning algorithm are used to compens...
A robust teleoperation controller design methodfor an underwater manipulator is proposed considering the master and the underwater slave separately. To achieve transparency and st...
This paper proposes a novel adaptive sliding mode control with PID tuning method for a class of uncertain systems. The goal is to achieve system robustness against parameter variat...
— High-gain PID position control, which is widely used with industrial robots, involves some risks in cases of abnormal events, such as unexpected environment contacts and tempor...
This paper considers the application of a low-force robotic manipulator to guide a human user’s movement to locate a tool at a predetermined position or to move a tool along a p...