EXPONENTIAL CONVERGENCE OF A MODIFIED DIRECTIONAL FORGETTING IDENTIFICATION ALGORITHM

被引：16

作者：

BITTANTI, S ^{[1
]}

BOLZERN, P ^{[1
]}

CAMPI, M ^{[1
]}

机构：

[1] POLITECN MILAN,DIPARTIMENTO ELETTRON,PIAZZA LEONARDO DAVINCI 32,I-20133 MILAN,ITALY

来源：

SYSTEMS & CONTROL LETTERS | 1990年 / 14卷 / 02期

关键词：

convergence analysis; directional forgetting; forgetting factor; Recursive least squares;

D O I：

10.1016/0167-6911(90)90028-S

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, a modification of the RLS estimator with directional forgetting is introduced. It is shown that, in a deterministic framework, the assumption of persistent excitation is sufficient to ensure the exponential convergence of the algorithm. © 1990.

引用

页码：131 / 137

页数：7

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