Multidimensional sampling aspects of neurocontrol with feedforward networks

This paper deals with results from the n-D (n-dimensional) sampling theory relevant to neurocontrol. These form a proper setting for modelling with feedforward neural networks for the purposes of nonlinear control. The focus is on RBF networks in the context of n-D sampling. RBF neural structure may be applied as an interpolating filter, according to the n-D sampling theory.