Object‐oriented creation of input signals for system identification

This study describes how a very large number of deterministic input signals for system identification may be created by object‐oriented methods. The concepts of aggregation and inheritance, combined with the properties of m‐sequences, are utilised to develop two new methods for the creation of pseudorandom perturbation signals with ideal spectral properties, two, three, five or seven levels and a very wide range of periods. The available signal levels ensure that the signals are suitable for both linear and non‐linear system identification and the availability of a large number of signal periods ensures that the signals are suitable for both single and multi‐input system identification. The methods are described in detail and illustrated by examples, together with their implementation in the open environment of an efficient, user‐friendly and freely available M atlab program which provides third‐party software to complement existing M atlab Identification Toolboxes.