Volume 6 Number 4
November 2009
Article Contents
Houda Mathlouthi, Kamel Abederrahim, Faouzi Msahli and Gerard Favier. Crosscumulants Based Approaches for the Structure Identification of Volterra Models. International Journal of Automation and Computing, vol. 6, no. 4, pp. 420-430, 2009. doi: 10.1007/s11633-009-0420-0
Cite as: Houda Mathlouthi, Kamel Abederrahim, Faouzi Msahli and Gerard Favier. Crosscumulants Based Approaches for the Structure Identification of Volterra Models. International Journal of Automation and Computing, vol. 6, no. 4, pp. 420-430, 2009. doi: 10.1007/s11633-009-0420-0

Crosscumulants Based Approaches for the Structure Identification of Volterra Models

  • Received: 2008-09-01
通讯作者: 陈斌, bchen63@163.com
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Crosscumulants Based Approaches for the Structure Identification of Volterra Models

Abstract: In this paper, we address the problem of structure identification of Volterra models. It consists in estimating the model order and the memory length of each kernel. Two methods based on input-output crosscumulants are developed. The first one uses zero mean independent and identically distributed Gaussian input, and the second one concerns a symmetric input sequence. Simulations are performed on six models having different orders and kernel memory lengths to demonstrate the advantages of the proposed methods.

Houda Mathlouthi, Kamel Abederrahim, Faouzi Msahli and Gerard Favier. Crosscumulants Based Approaches for the Structure Identification of Volterra Models. International Journal of Automation and Computing, vol. 6, no. 4, pp. 420-430, 2009. doi: 10.1007/s11633-009-0420-0
Citation: Houda Mathlouthi, Kamel Abederrahim, Faouzi Msahli and Gerard Favier. Crosscumulants Based Approaches for the Structure Identification of Volterra Models. International Journal of Automation and Computing, vol. 6, no. 4, pp. 420-430, 2009. doi: 10.1007/s11633-009-0420-0
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