Rabeei, M., Abbas, H., Hassan, M. (2013). LPVIOID- A LPV IDENTIFICATION TOOLBOX FOR MATLAB: RECENT AND NOVEL TECHNIQUES. JES. Journal of Engineering Sciences, 41(No 4), 1637-1659. doi: 10.21608/jesaun.2013.114890
Mustafa Rabeei; Hossam S. Abbas; Mohamed M. Hassan. "LPVIOID- A LPV IDENTIFICATION TOOLBOX FOR MATLAB: RECENT AND NOVEL TECHNIQUES". JES. Journal of Engineering Sciences, 41, No 4, 2013, 1637-1659. doi: 10.21608/jesaun.2013.114890
Rabeei, M., Abbas, H., Hassan, M. (2013). 'LPVIOID- A LPV IDENTIFICATION TOOLBOX FOR MATLAB: RECENT AND NOVEL TECHNIQUES', JES. Journal of Engineering Sciences, 41(No 4), pp. 1637-1659. doi: 10.21608/jesaun.2013.114890
Rabeei, M., Abbas, H., Hassan, M. LPVIOID- A LPV IDENTIFICATION TOOLBOX FOR MATLAB: RECENT AND NOVEL TECHNIQUES. JES. Journal of Engineering Sciences, 2013; 41(No 4): 1637-1659. doi: 10.21608/jesaun.2013.114890
LPVIOID- A LPV IDENTIFICATION TOOLBOX FOR MATLAB: RECENT AND NOVEL TECHNIQUES
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.