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LPVIOID- A LPV IDENTIFICATION TOOLBOX FOR MATLAB: RECENT AND NOVEL TECHNIQUES

Research Authors
Mustafa Rabeei, Hossam S. Abbas and Mohamed M. Hassan
Research Department
Research Year
2013
Research Journal
Journal of Engineering Sciences, Assiut University, Faculty of Engineering
Research Vol
41- 4
Research Rank
2
Research_Pages
1637 - 1659
Research Abstract

In this paper a system identification toolbox for MATLAB is introduced, including a user friendly
graphical user interface. The toolbox is appropriate for the identification of systems in discrete-time
linear parameter varying (LPV) form. Using LPVIOID1 it is possible to identify input-output
models in open-loop and closed-loop settings based on experimental data. It comprises several
recent LPV identification techniques. Furthermore, a novel method for identifying unstable plants in
closed-loop is proposed. The toolbox is equipped with several tools for model validation. Examples
for illustration are included.