Noncausal inverse for nonminimum phase sampled-data systems and its relation with the continuous-time systems

Abstract

In this paper, we discuss a limiting property of stable inversion for sampled-data systems. It was demonstrated that solution for sampled-data stable inversion can approximate the one for continuous-time stable inversion by only shrinking the sampling period for a class of linear systems. This guarantees that we can achieve exact output tracking via iterative learning control based on sampled data of output error signal.