Parametric identification of structured nonlinear systems

被引：44

作者：

Novara, C. ^{[1
]}

Vincent, T. ^{[2
]}

Hsu, K. ^{[3
]}

Milanese, M. ^{[1
]}

Poolla, K. ^{[4
]}

机构：

[1] Politecn Torino, I-10129 Turin, Italy

[2] Colorado Sch Mines, Golden, CO 80401 USA

[3] Grantham, Mayo, CA USA

[4] Univ Calif Berkeley, Berkeley, CA 94720 USA

来源：

AUTOMATICA | 2011年 / 47卷 / 04期

基金：

美国国家科学基金会;

关键词：

Nonlinear systems identification; Structured systems; Parametric estimation; MODEL IDENTIFICATION; HAMMERSTEIN MODEL; CONVERGENCE; SUSPENSION; SERIES;

D O I：

10.1016/j.automatica.2011.01.063

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, identification of structured nonlinear systems is considered. Using linear fractional transformations (LFT), the a priori information regarding the structural interconnection is systematically exploited. A parametric approach to the identification problem is investigated, where it is assumed that the linear part of the interconnection is given and the input to the nonlinear part is measurable. An algorithm for the identification of the nonlinear part is proposed. The uniqueness properties of the estimate provided by the algorithm are examined. It is shown that the estimate converges asymptotically to its true value under a certain persistence of excitation condition. Two simulated examples and a real-data example are presented to show the effectiveness of the proposed algorithm. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：711 / 721

页数：11

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