Identification of linear systems using correlation data

Abstract
Powerful algorithms exist for identifying linear systems given input/output data. In many cases, however, it is convenient to obtain the data in the form of correlation functions. The data in this form are often more condensed. An extension of Åström's identification algorithm for making it able to use correlation functions in the place of an input/output record is described.

This publication has 0 references indexed in Scilit: