Towards identification of Wiener systems with the least amount of a priori information on the nonlinearity

Er-Wei BAI; John REYLAND

doi:10.1016/j.automatica.2007.08.001

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Towards identification of Wiener systems with the least amount of a priori information on the nonlinearity

Journal article

Peer reviewed

Towards identification of Wiener systems with the least amount of a priori information on the nonlinearity

Er-Wei BAI and John REYLAND

Automatica (Oxford), Vol.44(4), pp.910-919

2008

DOI: 10.1016/j.automatica.2007.08.001

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Abstract

In this paper, we investigate what constitutes the least amount of a priori information on the nonlinearity so that the FIR linear part is identifiable in the non-Gaussian input case. Three types of a priori information are considered including quadrant information, point information and locally monotonous information. In all three cases, identifiability has been established and corresponding identification algorithms are developed with their convergence proofs.

Applied Sciences

Control theory. Systems

Modelling and identification

Exact sciences and technology

Computer science; control theory; systems

Details

Title: Subtitle: Towards identification of Wiener systems with the least amount of a priori information on the nonlinearity
Creators: Er-Wei BAI - Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA 52242, United States
John REYLAND - Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA 52242, United States
Resource Type: Journal article
Publication Details: Automatica (Oxford), Vol.44(4), pp.910-919
Publisher: Elsevier
DOI: 10.1016/j.automatica.2007.08.001
ISSN: 0005-1098
eISSN: 1873-2836
Language: English
Date published: 2008
Academic Unit: Electrical and Computer Engineering
Record Identifier: 9984083203402771

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