Variable sampling integral control of infinite-dimensional systems

Abstract

In this paper we present sampled-data low-gain I-control algorithms for infinite-dimensional systems in which the sampling period is not constant. The system is assumed to be exponentially stable with invertible steady state gain. The choice of the integrator gain is based on steady state gain information. In one algorithm the sampling time is divergent and in the other it increases adaptively.