Recursive Identification of Hammerstein Structure


Le, Fengmin, Markovsky, Ivan, Freeman, Christopher and Rogers, Eric (2011) Recursive Identification of Hammerstein Structure. In, 18th IFAC World Congress, Milano, Italy, August 28 - September 2, 2011

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Description/Abstract

A novel recursive algorithm for identification of Hammerstein structures is developed. The linear and nonlinear parameters are separated and estimated recursively in a parallel manner, but each updating algorithm employs the estimation produced by the other at the previous time instant. Hence, it is termed the Alternately Recursive Least Square (ARLS) algorithm. When compared with Recursive Least Squares (RLS) algorithm applyed to the over-parametric representations of the Hammerstein structure, ARLS demonstrated superior performance over extensive numerical simulations.

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Physical and Applied Science > Electronics and Computer Science > Comms, Signal Processing & Control
Faculty of Physical and Applied Science > Electronics and Computer Science > EEE
Item ID: 271585
Date Deposited: 23 Sep 2010 15:43
Last Modified: 01 Mar 2012 14:15
Contributors: Le, Fengmin (Author)
Markovsky, Ivan (Author)
Freeman, Christopher (Author)
Rogers, Eric (Author)
Date: 2011
Status: Published
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/271585

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