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

Er-Wei Bai; J. Reyland Jr.

doi:10.1016/j.automatica.2007.08.001

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

Er-Wei Bai, J. Reyland Jr.

Research output: Contribution to journal › Article › peer-review

36 Citations (Scopus)

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.

Original language	English
Pages (from-to)	910-919
Number of pages	10
Journal	Automatica
Volume	44
Issue number	4
DOIs	https://doi.org/10.1016/j.automatica.2007.08.001
Publication status	Published - Apr 2008

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

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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. ",

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AB - 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.

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DO - 10.1016/j.automatica.2007.08.001

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JO - Automatica

JF - Automatica

IS - 4

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

Abstract

ASJC Scopus subject areas

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