SUBSPACE IDENTIFICATION OF PERIODICALLY SWITCHING HAMMERSTEIN-WIENER MODELS FOR MAGNETOSPHERIC DYNAMICS1

SUBSPACE IDENTIFICATION OF PERIODICALLY SWITCHING HAMMERSTEIN-WIENER MODELS FOR MAGNETOSPHERIC DYNAMICS1
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DOI：
10.3182/20060329-3-au-2901.00082
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发表时间：
2006
期刊：
IFAC Proceedings Volumes
影响因子：
--
通讯作者：
H. Palanthandalam-Madapusi;D. Bernstein;A. Ridley
H. Palanthandalam-Madapusi;D. Bernstein;A. Ridley
中科院分区：
其他
文献类型：
--
作者：
H. Palanthandalam-Madapusi;D. Bernstein;A. Ridley

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摘要 考虑将两种现有的 Hammerstein-Wiener 识别算法和第三种新颖的 Hammerstein-Wiener 识别算法应用于磁层系统。描述了允许丢失数据点的修改子空间算法，并将其用于识别周期性切换的 Hammerstein-Wiener 模型，以捕获系统的周期性时变性质。这些模型用于通过 ACE 卫星测量来预测地面磁力计响应。
Abstract Two existing Hammerstein-Wiener identification algorithms and a third novel Hammerstein-Wiener identification algorithm are considered for application to the magnetospheric system. A modified subspace algorithm that allows missing data points is described and used for identifying periodically switching Hammerstein-Wiener models, to capture the periodically time-varying nature of the system. These models are used to predict ground-based magnetometer response using the ACE satellite measurements.