Two-degree-of-freedom robot neurocontroller

Abstract

The performance of a two-degree-of-freedom robot neurocontroller is described. The main theorem suggests that global asymptotic stability is guaranteed despite the highly nonlinear nature of the closed-loop dynamics. Examples demonstrating the applicability of the neurocontroller are provided. It is concluded that a two-degree-of-freedom robot neurocontroller provides opportunities for noise filtering and disturbance rejection not available with a constant-gain servo neurocontroller.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>