Optimised Wiener models for direction-dependent dynamic systems

被引：0
|
作者：
Barker, HA [1 ]
Godfrey, KR [1 ]
Tan, AH [1 ]
机构：
[1] Univ Coll Swansea, Dept Elect & Elect Engn, Swansea SA2 8PP, W Glam, Wales
来源：
PROCEEDINGS OF THE 2001 AMERICAN CONTROL CONFERENCE, VOLS 1-6 | 2001年
关键词：
system identification; direction-dependent dynamics; nonlinear systems; Wiener models; pseudo-random signals;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Methods for determining optimal parameters for Wiener models of direction-dependent dynamic systems are described. When such a system has first-order dynamics, with parameters dependent on the system output direction, the input-output cross-correlation function contains distinctive patterns when the input is a pseudo-random binary signal based on an m-sequence. Similar patterns are observed in the cross-correlation function of a Wiener model when perturbed by the same signal. Comparing these patterns as the parameters of the Wiener model are changed leads to methods for determining the optimal parameter values.
引用
收藏
页码：4880 / 4881
页数：2
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