Publications

@conference{Mayoufi2020446b,

title = {A comparison between two methods for MISO fractional models estimation},

author = {Abir Mayoufi and Manel Chetoui and Stephans Victor and Mohamed Aoun and Rachid Malti},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103003953\&doi=10.1109%2fSSD49366.2020.9364187\&partnerID=40\&md5=b9525866e8a24d2426d03414f5810e22},

doi = {10.1109/SSD49366.2020.9364187},

year  = {2020},

date = {2020-01-01},

journal = {Proceedings of the 17th International Multi-Conference on Systems, Signals and Devices, SSD 2020},

pages = {446 \textendash 451},

abstract = {This paper proposes two new methods for multiple input-single output system identification with fractional models: The instrumental variable based method and the output-error based method. The fractional orders are supposed known and the linear coefficients are estimated. A comparative study between the developed methods is illustrated via a numerical example. Monte Carlo simulations are used to demonstrate the efficiency of the two methods. © 2020 IEEE.},

note = {Cited by: 0},

keywords = {Comparative studies, Fractional model, Fractional order, Instrumental variables, Linear coefficients, Monte Carlo methods, Multiple input single output systems, Numerical methods, Output errors},

pubstate = {published},

tppubtype = {conference}

}

@conference{Mayoufi2020446,

title = {A comparison between two methods for MISO fractional models estimation},

author = {Abir Mayoufi and Manel Chetoui and Stephans Victor and Mohamed Aoun and Rachid Malti},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103003953\&doi=10.1109%2fSSD49366.2020.9364187\&partnerID=40\&md5=b9525866e8a24d2426d03414f5810e22},

doi = {10.1109/SSD49366.2020.9364187},

year  = {2020},

date = {2020-01-01},

journal = {Proceedings of the 17th International Multi-Conference on Systems, Signals and Devices, SSD 2020},

pages = {446 \textendash 451},

abstract = {This paper proposes two new methods for multiple input-single output system identification with fractional models: The instrumental variable based method and the output-error based method. The fractional orders are supposed known and the linear coefficients are estimated. A comparative study between the developed methods is illustrated via a numerical example. Monte Carlo simulations are used to demonstrate the efficiency of the two methods. © 2020 IEEE.},

note = {Cited by: 0},

keywords = {Comparative studies, Fractional model, Fractional order, Instrumental variables, Linear coefficients, Monte Carlo methods, Multiple input single output systems, Numerical methods, Output errors},

pubstate = {published},

tppubtype = {conference}

}