LINEAR AND NONLINEAR ALGORITHMS FOR IDENTIFICATION IN H-INFINITY WITH ERROR-BOUNDS

被引：70

作者：

GU, GX ^{[1
]}

KHARGONEKAR, PP ^{[1
]}

机构：

[1] UNIV MICHIGAN, DEPT ELECT ENGN & COMP SCI, ANN ARBOR, MI 48109 USA

来源：

IEEE TRANSACTIONS ON AUTOMATIC CONTROL | 1992年 / 37卷 / 07期

关键词：

D O I：

10.1109/9.148347

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 linear algorithm and a nonlinear algorithm are presented for the problem of "system identification in H infinity," posed by Helmicki, Jacobson, and Nett for discrete-time systems. We derive some error bounds for the linear algorithm which indicate that it is not robustly convergent. However, the worst-case identification error is shown to grow as log (n) where n is the model order. A new robustly convergent nonlinear algorithm is derived, and bounds on the worst-case identification error (in the H infinity norm) are obtained.

引用

页码：953 / 963

页数：11

共 46 条

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GU, GX
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GU, GX
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