Robust control through signal constraints with application to predictive control

This thesis presents a novel approach to robust controller design. It describes how linear constraints can be derived on the output of an arbitrary controller, that guarantee robust bounded-input/bounded-output stability and asymptotic perfect tracking of the reference when the external signals become constant. The results are applicable to a...