Neural Control of Two-link Planar Robot

Abstract

In this paper is proposed neural control of a two-link planar robot. The control system contains one feedforward neural network used as both neural model and neural controller. Neural network on-line learning process, based on gradient descent rule and error backpropagation is used. Accomplished simulation research confirms sufficient system performance at load variation.