From lifting to system transformation

Abstract

This paper studies two kinds of generalizations of the lifting technique originally introduced for the sampled-data control theory. First, the lifting technique is extended when arbitrary inner function is used. Another direction for the extension is the system transformation for stochastic systems. The latter can be applied to the continuous-time system identification problem. It turns out that the PO-MOESP algorithm can be exploited to identify the coefficient matrices. © 2010 Springer-Verlag Berlin Heidelberg.