Limit cycles in neurocontrolled minirobots

This paper presents the stability analysis of the movement of a small robot controlled by a feedforward neural network. The minirobot is assumed to have one position sensor and one motor. A describing function of the neural network is used to determine the bounds for the network weights in order to predict limit cycles and to avoid oscillations of the minirobot when it is close to obstacles.