Adaptive Hopfield neural controller
Sebastian Yuri Cavalcanti Catunda, J.H.F. Cavalcanti · 2002
In this paper, the characteristics of a new neural network controller, composed of two Hopfield neurons, and experimental results obtained from the real time control of a DC motor are described. The model and implementation details of the neuron are shown and the adaptive Hopfield neural controller and its training are described. Also, some experimental results obtained from the positioning of an inverted pendulum using an intelligent control system are shown.