Representation and identification of non-parametric nonlinear systems of short term memory and low degree of interaction

Er-Wei Bai; Roberto Tempo

doi:10.1016/j.automatica.2010.06.031

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Representation and identification of non-parametric nonlinear systems of short term memory and low degree of interaction

Journal article

Peer reviewed

Representation and identification of non-parametric nonlinear systems of short term memory and low degree of interaction

Er-Wei Bai and Roberto Tempo

Automatica (Oxford), Vol.46(10), pp.1595-1603

2010

DOI: 10.1016/j.automatica.2010.06.031

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Abstract

In this paper, we propose a new representation which is particularly useful for a class of non-parametric nonlinear systems that have short term memory and low degree of interaction. Advantages and disadvantages of this representation are discussed and compared to existing methods both theoretically and numerically. Furthermore, results regarding structural estimation based on the analysis of variance and on full scale identification are also provided.

Volterra system

Nonlinear systems

System identification

Details

Title: Subtitle: Representation and identification of non-parametric nonlinear systems of short term memory and low degree of interaction
Creators: Er-Wei Bai - Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA 52242, United States
Roberto Tempo - IEIIT-CNR, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy
Resource Type: Journal article
Publication Details: Automatica (Oxford), Vol.46(10), pp.1595-1603
Publisher: Elsevier Ltd
DOI: 10.1016/j.automatica.2010.06.031
ISSN: 0005-1098
eISSN: 1873-2836
Grant note: 0555394. / NSF ECS
Language: English
Date published: 2010
Academic Unit: Electrical and Computer Engineering
Record Identifier: 9984083241102771

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