Neural network application to linear systems with binary inputs

The purpose of this paper is to use neural network to control a continuous systems with Boolean inputs. These Boolean input systems have increased in the electric industry. Power supplies include such systems and the power converter represents these. For instance in power electronics the control variable are the switching OFF and ON of components as thyristors or transistors. This method is based on classification of system variations associated with input configurations. The supervised backpropagation algorithm is used to train the networks. The training of the artificial neural network and the control of Boolean input systems are presented. This approach is implemented in simulation to control an electronic circuit.