Brief paper: Convergence of the iterative algorithm for a general Hammerstein system identification

Authors:
Er-Wei Bai;Kang Li
Affiliations:
Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA 52242, United States;School of Electronics, Electrical Engineering and Computer Science Queen's University, Belfast, BT9 5AH, UK
Venue:
Automatica (Journal of IFAC)
Year:
2010

Citing 6
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Brief paper: Making parametric Hammerstein system identification a linear problem

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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.