Convergence of the iterative algorithm for a general Hammerstein system identification期刊界 All Journals 搜尽天下杂志传播学术成果专业期刊搜索期刊信息化学术搜索

Convergence of the iterative algorithm for a general Hammerstein system identification

Authors:	Er-Wei Bai [Author Vitae] Kang Li^{[Author Vitae]}

Affiliation:	^a Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA 52242, United States ^b School of Electronics, Electrical Engineering and Computer Science Queen’s University, Belfast, BT9 5AH, UK

Abstract:	The convergence of the iterative identification algorithm for a general Hammerstein system has been an open problem for a long time. In this paper, it is shown that the convergence can be achieved by incorporating a regularization procedure on the nonlinearity in addition to a normalization step on the parameters.

Keywords:	System identification Hammerstein systems Recursive algorithm
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