LPVIOID- A LPV IDENTIFICATION TOOLBOX FOR MATLAB: RECENT AND NOVEL TECHNIQUES | ||||
| JES. Journal of Engineering Sciences | ||||
| Article 17, Volume 41, No 4, July and August 2013, Page 1637-1659 PDF (416.03 K) | ||||
| Document Type: Research Paper | ||||
| DOI: 10.21608/jesaun.2013.114890 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Mustafa Rabeei  ; Hossam S. Abbas; Mohamed M. Hassan
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| Electrical Engineering Department, Assiut University, Assiut, Egypt. | ||||
| 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. | ||||
| Keywords | ||||
| Linear parameter varying systems; system identification; non-linear modelling | ||||
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