Tracking error estimation of uncertain Lur'e Postnikov systems

Abstract

This paper deals with an application of stability approach. In such a case, it is very important to be able to estimate the maximum tracking error induced by uncertainties and/or bounded perturbations. In this paper, we present a new approach which enables the estimation by overvaluation of this error between the evolution of Lur'e and Postnikov systems and of its model. It is based on the use of the aggregation techniques using vector norms and comparison systems.