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                                       Details for article 6 of 9 found articles
 
 
  Identifying MIMO Hammerstein systems in the context of subspace model identification methods
 
 
Title: Identifying MIMO Hammerstein systems in the context of subspace model identification methods
Author: Verhaegen, Michel
Westwick, David
Appeared in: International journal of control
Paging: Volume 63 (1996) nr. 2 pages 331-349
Year: 1996-01-01
Contents: In this paper, we outline the extension of the MOESP family of subspace model identification schemes to the Hammerstein-type of nonlinear system. Two types of identification problem are considered. The first type assumes the (polynomial) structure of the static nonlinearity to be given and the task is to identify both the linear system dynamics and the unknown proportional constants in the para-metrization of the static nonlinearity. The second type addresses the identification of both the linear dynamic part and the static nonlinearity, where only limited a priori information regarding the structure of the nonlinearity is available. The improved robustness properties of the algorithms developed for this second type of Hammerstein identification problem over existing correlation-based schemes is illustrated by a numerical example.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 6 of 9 found articles
 
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