Object-oriented creation of input signals for system identification

H. Anthony Barker; Ai Hui Tan; Keith R. Godfrey

Object-oriented creation of input signals for system identification

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Author(s): H. Anthony Barker ¹ ; Ai Hui Tan ² ; Keith R. Godfrey ³
- Affiliations: 1: College of Engineering, Swansea University, Swansea SA2 8PP, UK;
  2: Faculty of Engineering, Multimedia University, 63100 Cyberjaya, Malaysia;
  3: School of Engineering, University of Warwick, Coventry CV4 7AL, UK
Source: Volume 8, Issue 10, 03 July 2014, p. 821 – 829
DOI: 10.1049/iet-cta.2013.0259 , Print ISSN 1751-8644, Online ISSN 1751-8652

Received 26/03/2013, Accepted 24/11/2013, Revised 31/08/2013, Published 14/05/2014

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 Matlab program which provides third-party software to complement existing Matlab Identification Toolboxes.

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