On the structure of nonlinear polynomial models: Higher order correlation functions, spectra, and term clusters

被引：13

作者：

Aguirre, LA

机构：

[1] Centre de Pesquisa e Desenvolvimento em Engenharia Elétrica, Universidade Federal de Minas Gerais, 31270-901 Belo Horizonte, M.G

来源：

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS | 1997年 / 44卷 / 05期

关键词：

higher order; identification; modeling; moments; nonlinear systems; spectra; term clusters;

D O I：

10.1109/81.572342

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A framework is established which relates the structure of nonlinear polynomial models to the dynamical properties of the estimation data, Such a framework uses the concepts of term clusters, higher order correlation functions and higher order spectra. The results discussed in this brief offer a new way of understanding and interpreting term clusters in structure selection problems for nonlinear polynomial models, A numerical example which uses real data is included to illustrate the new results.

引用

页码：450 / 453

页数：4

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