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Hierarchical Iterative Parameter Estimation for Multivariable Systems Based on the Coupled Identification Model

delete2026-06-24
delete0
PRE
AI
丁
丁凤 (Feng Ding)
H
Hao Fang *
C
Chun Wei
L
Ling Xu
DOI：10.1002/acs.70110delete
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摘要

摘要

En 中文
部分耦合信息向量系统是指一种多变量系统，其中子系统之间的部分信息（输入）存在耦合，而其余信息（输出）是解耦的（独立的）。对这样的多变量系统进行参数化后，我们得到一个部分耦合信息向量辨识模型。基于此耦合辨识模型，我们提出了相应的迭代参数辨识方法，包括基于梯度的分层迭代算法、基于最小二乘法的分层迭代算法、基于多创新梯度的分层迭代算法以及基于多创新最小二乘法的分层迭代算法等。这些迭代参数辨识方法可以推广到其他具有有色噪声的线性与非线性多变量随机系统。
Keyword:
coupling identification
hierarchical identification
iterative identification
multi-innovation identification
parameter estimation

期刊

International Journal of Adaptive Control and Signal Processing 封面图
International Journal of Adaptive Control and Signal Processing
IF:
3.8
论文数:
2.6K
被引数:
3.6K

机构

C
Changzhou University
学者数:
1.4W
论文数: 8.3K
被引数: 1.1W
W
Wuhan Donghu University
学者数:
232
论文数: 261
被引数: 870
J
jiangnan university
学者数:
8.8K
论文数: 2.4K
被引数: 0
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