Integral control by variable sampling based on steady-state data
Abstract
In this paper we consider integral control algorithms with convergent adaptive sampling for multivariable infinite-dimensional systems. Steady-state gain information is used in choosing suitable integrator gains and we also consider robustness with respect to error in measuring the steady-state gain.
