Home Articles List Article Information
JES. Journal of Engineering Sciences
Journal Archive
Volume Volume 53 (2025)
Volume Volume 52 (2024)
Volume Volume 51 (2023)
Volume Volume 50 (2022)
Volume Volume 49 (2021)
Volume Volume 48 (2020)
Volume Volume 47 (2019)
Volume Volume 46 (2018)
Volume Volume 45 (2017)
Volume Volume 44 (2016)
Volume Volume 43 (2015)
Volume Volume 42 (2014)
Volume Volume 41 (2013)
Volume Volume 40 (2012)
Volume Volume 39 (2011)
Volume Volume 38 (2010)
Volume Volume 37 (2009)
Volume Volume 36 (2008)
Volume Volume 35 (2007)
Volume Volume 34 (2006)
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

Article 17, Volume 41, No 4, July and August 2013, Page 1637-1659  XML PDF (416.03 K)
Document Type: Research Paper
DOI: 10.21608/jesaun.2013.114890
View on SCiNiTO View on SCiNiTO
Authors
Mustafa Rabeei email ; Hossam S. Abbas; Mohamed M. Hassan
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
Main Subjects
Electrical Engineering, Computer Engineering and Electrical power and machines engineering.
Statistics
Article View: 151
PDF Download: 549