Abstract :
This paper presents an overview of an approach to deterministic, discrete-time neurocontrol of nonlinear (NARMA) dynamic systems, given input-output data of finite length. We explain a novel modelling technique based on nonuniform multi-dimensional (N-D) sampling and Fourier analysis. Important issues of adaptation and persistency of excitation (PE) are addressed. In order to deal with the modelling error a new technique of BIBO redesign of the closed-loop system is described.
