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	Optimality analysis of the Two-Stage Algorithm for Hammerstein system identification
	Wang, Jiandong ; Zhang, Qinghua ; Ljung, Lennart
	2009
DOI	10.3182/20090706-3-FR-2004.0151
英文摘要	The Two-Stage Algorithm (TSA) has been extensively used and adapted for the identification of Hammerstein systems. It is essentially based on a particular formulation of Hammerstein systems in the form of bilinearly parameterized linear regressions. This paper has been motivated by a somewhat contradictory fact: though the optimality of the TSA has been established by Bai in 1998 only in the case of some special weighting matrices, the unweighted TSA is usually used in practice. It is shown in this paper that the unweighted TSA indeed gives the optimal solution of the weighted nonlinear least-squares problem formulated with a particular weighting matrix. This provides a theoretical justification of the unweighted TSA, and leads to a generalization of the obtained result to the case of colored noise with noise whitening. Numerical examples of identification of Hammerstein systems are presented to validate the theoretical analysis. ? 2009 IFAC.; EI; 0
语种	英语
内容类型	会议论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/316843]
专题	工学院
推荐引用方式 GB/T 7714	Wang, Jiandong,Zhang, Qinghua,Ljung, Lennart. Optimality analysis of the Two-Stage Algorithm for Hammerstein system identification[C]. 见:.

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