Identification of wiener systems : the least amount of a priori information

Er-Wei Bai; John Reyland

doi:10.1109/MED.2007.4433803

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Conference proceeding

Identification of wiener systems : the least amount of a priori information

Er-Wei Bai and John Reyland

2007 Mediterranean Conference on Control & Automation, pp.1-6

06/2007

DOI: 10.1109/MED.2007.4433803

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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 linear part is identifiable in the non-Gausian 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.

Cities and towns

Convergence

Finite impulse response filter

Hammerstein systems

Linear systems

Nonlinear dynamical systems

Nonlinear systems

Parameter estimation

Piecewise linear techniques

System identification

Details

Title: Subtitle: Identification of wiener systems : the least amount of a priori information
Creators: Er-Wei Bai - University of Iowa
John Reyland - University of Iowa
Resource Type: Conference proceeding
Publication Details: 2007 Mediterranean Conference on Control & Automation, pp.1-6
DOI: 10.1109/MED.2007.4433803
Publisher: IEEE
Language: English
Date published: 06/2007
Academic Unit: Electrical and Computer Engineering
Record Identifier: 9984197344102771

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