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基于状态空间和NR-LMS的结构参数辨识方法

DOI: 10.13700/j.bh.1001-5965.2013.0285, PP. 517-522

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Abstract:

提出一种基于系统状态空间模型和归一化鲁棒最小均方根(NR-LMS,NormalizedRobustLeastMeanSquare)理论的动力学结构参数辨识方法.利用系统的输入-输出数据建立其Hankel-Toeplitz模型,利用NR-LMS算法得到该模型参数的估计并求得系统的Hankel矩阵,对Hankel矩阵进行奇异值分解即可确定系统的阶次,进而确定系统状态空间模型的参数.仿真研究和实验结果表明,此方法可以准确、快速地提取出结构的参数,且抗噪能力较强.

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