Recursive system identification using delta models

Abstract

Contribution presents delta models and their possibilities for recursive identification. It is discussed the usage of recursive identification for adaptive control. It shows several ways of identification based on modification of recursive least squares method. There are the individual methods of identification compared in simulation examples. Influence of the noise in the signal is described.