Improvement of dynamic models by inverse eigenproperty assignment

Abstract

A particular mathematical model often produces results which disagree with data taken from the actual system. It is important to be able to adjust the data used in the calculation of the modes of behaviour to give better agreement between measured and calculated performance, thus showing the desired characteristics. This procedure is seen in terms of the generation of the input vector of the system by appropriate linear feedback of the state vector, such that prescribed eigenproperties are associated with the resultant dynamic closed-loop system. The technique is illustrated by an application in macroeconomics.