A parametric approach for l1 robust identification

被引：1
|
作者：
Wang, SN [1 ]
Dai, JS
Tanaka, M
机构：
[1] Tsing Hua Univ, Dept Automat, Beijing 100084, Peoples R China
[2] Huazhong Univ Sci & Technol, Inst Syst Engn, Wuhan 430074, Peoples R China
[3] Okayama Univ, Dept Informat Technol, Okayama 7008530, Japan
来源：
IEEE TRANSACTIONS ON AUTOMATIC CONTROL | 1999年 / 44卷 / 06期
关键词：
control-oriented models; linear programming; parameter identification; robust estimation; transfer function;
D O I：
10.1109/9.769391
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 convergent algorithm for l(1) robust identification of a stable rational transfer function with known order is proposed, which is implemented by solving a linear programming problem and can produce a rational transfer function with a fixed order. An explicit upper hound on its worst case identification error is given. Its performance is proven to be close to that of an interpolatory algorithm if a high-order Galois sequence is taken as the input signal.
引用
收藏
页码：1282 / 1286
页数：5
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