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基于Wiener结构的软测量模型及辨识算法

DOI: 10.3724/SP.J.1004.2014.02179, PP. 2179-2192

Keywords: 软测量,Wiener结构,建模,分步辨识,递推算法,收敛性

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Abstract:

?Wiener模型结构能有效地表征系统的动态和静态特性,因此这里首先基于这一结构建立软测量模型,利用动态与静态子模型分别建立辅助变量与主导变量间的动态与静态关系,并说明该软测量模型的可行性,给出模型具体表达式.其次,针对所提模型,提出分步辨识方式获得最优模型参数,说明其可行性.再次,为了减少计算和实现模型在线更新,这里提出参数辨识递推算法,并给出软测量模型参数的收敛性结论.通过实例仿真,可以看出本文提出模型的可行性,以及分步辨识方式与递推算法的有效性.

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