A STRUCTURE DETECTION ALGORITHM FOR NONLINEAR DYNAMIC RATIONAL MODELS

被引：34

作者：

BILLINGS, SA

ZHU, QM

机构：

[1] Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, SI-4DU, Mappin Street

来源：

INTERNATIONAL JOURNAL OF CONTROL | 1994年 / 59卷 / 06期

关键词：

D O I：

10.1080/00207179408923140

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A general structure detection and parameter estimation algorithm is derived for the identification of nonlinear systems that can be approximated by a stochastic nonlinear rational model defined as the ratio of two polynomial expansions of past inputs, outputs and noise sequences. The algorithm includes an intelligent structure detection module that learns the structure of the model from the input/output data. Simulation results are included to illustrate the application of the new algorithm.

引用

页码：1439 / 1463

页数：25

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