A birds eye view on system identification

Abstract

System identification is concerned with obtaining good models from data, i.e. with data driven modeling. In this contribution the aim is to explain and discuss ideas, general approaches and theories underlying identification of linear systems. Identification of linear systems is a nonlinear problem and is "prototypical" also for many parts of identification of nonlinear systems. © 2007 Springer-Verlag Berlin Heidelberg.