Towards identification of Wiener systems with the least amount of a priori information: IIR cases

被引:30
作者
Bai, Er-Wei [1 ]
Reyland, John, Jr. [1 ]
机构
[1] Univ Iowa, Dept Elect & Comp Engn, Iowa City, IA 52242 USA
关键词
System identification; Nonlinear systems; Wiener systems; A priori information; RECURSIVE-IDENTIFICATION; MODEL IDENTIFICATION;
D O I
10.1016/j.automatica.2008.11.020
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, we investigate what constitutes the least amount of a priori information on the nonlinearity so that the linear part is identifiable in the non-Gaussian input case. Under the white noise input, three types of a priori information are considered: quadrant information, point information, and monotonic information. In all three cases, identifiability has been established, and the corresponding nonparametric identification algorithms are developed along with their convergence proofs. (C) 2009 Elsevier Ltd. All rights reserved.
引用
收藏
页码:956 / 964
页数:9
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