Identification of Multivariable Fractional Order Systems

被引：16
|
作者：
Djamah, Tounsia [1 ]
Bettayeb, Maamar [2 ,3 ]
Djennoune, Said [1 ]
机构：
[1] Univ M Mammeri Tizi Ouzou, L2CSP, Tizi Ouzou, Algeria
[2] Univ Sharjah, Dept Elect & Comp Engn, Sharjah, U Arab Emirates
[3] King Abdulaziz Univ, Jeddah, Saudi Arabia
来源：
ASIAN JOURNAL OF CONTROL | 2013年 / 15卷 / 03期
关键词：
Fractional order; Guidorzi canonical form; multivariable identification; output error method; sensitivity functions;
D O I：
10.1002/asjc.675
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper deals with identification of multivariable fractional order systems. The state space model is used, based on the Guidorzi canonical form. An output error identification approach is used, and the parametric sensitivity functions model is developed as a multivariable fractional model. Its simulation is carried out using the fractional bounded integration operator. Different simulations test the method efficiency, and its statistical performance is analyzed, using Monte Carlo simulation at various signal-to-noise ratios.
引用
收藏
页码：741 / 750
页数：10
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