  The paper proposes a feed-forward control strategy for mobile robot control
that accounts for a non-linear model of the vehicle with interaction between
inputs and outputs. It is possible to include specific model uncertainties in
the dynamic model of the mobile robot in order to see how the control problem
should be addressed taking into consideration the complete dynamic mobile robot
model. By means of a neural network feed-forward controller a real non-linear
mathematical model of the vehicle can be taken into consideration. The
classical velocity control strategy can be extended using artificial neural
networks in order to compensate for the modelling uncertainties. It is possible
to develop an intelligent strategy for mobile robot control.
