Recursive Identification of Hammerstein Structure
Recursive Identification of Hammerstein Structure
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 applied to the over-parametric representations of the Hammerstein structure, ARLS demonstrated superior performance over extensive numerical simulations.
Le, Fengmin
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Markovsky, Ivan
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Freeman, Christopher
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Rogers, Eric
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2011
Le, Fengmin
3e44aa4d-33ea-4697-a9c2-b2bff35cee3c
Markovsky, Ivan
7d632d37-2100-41be-a4ff-90b92752212c
Freeman, Christopher
ccdd1272-cdc7-43fb-a1bb-b1ef0bdf5815
Rogers, Eric
611b1de0-c505-472e-a03f-c5294c63bb72
Le, Fengmin, Markovsky, Ivan, Freeman, Christopher and Rogers, Eric
(2011)
Recursive Identification of Hammerstein Structure.
18th IFAC World Congress, Milano, Italy, August 28 - September 2, 2011.
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Conference or Workshop Item
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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 applied to the over-parametric representations of the Hammerstein structure, ARLS demonstrated superior performance over extensive numerical simulations.
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Published date: 2011
Venue - Dates:
18th IFAC World Congress, Milano, Italy, August 28 - September 2, 2011, 2011-01-01
Organisations:
EEE, Southampton Wireless Group
Identifiers
Local EPrints ID: 271585
URI: http://eprints.soton.ac.uk/id/eprint/271585
PURE UUID: cba3ef63-7c4f-4df1-a694-3eadf87602db
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Date deposited: 23 Sep 2010 15:43
Last modified: 15 Mar 2024 02:42
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Contributors
Author:
Fengmin Le
Author:
Ivan Markovsky
Author:
Christopher Freeman
Author:
Eric Rogers
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