DAISY : A database for identification of systems

Abstract

We point out the existence of a disturbing deficiency in the field of system identification, namely the fact that many results, published in papers, are not reproducible. In many cases, datasets and time series, that are used to illustrate identification methods and algorithms in these publications, are not freely available. We propose to remedy this serious deficiency by setting up a publically accessible website, called DAISY, to which authors can submit datasets that are used to illustrate certain claims and algorithms in their papers. Several additional benefits are discussed as well.