Separable inputs for the identification of block-oriented nonlinear systems

E.W Bai; V Cerone; D Regruto

doi:10.1109/ACC.2007.4282538

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Conference proceeding

Separable inputs for the identification of block-oriented nonlinear systems

E.W Bai, V Cerone and D Regruto

2007 American Control Conference, pp.1548-1553

07/2007

DOI: 10.1109/ACC.2007.4282538

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Abstract

In this paper, noniterative procedures for the identification of block-oriented nonlinear models, consisting of the interconnection of linear time invariant systems and static nonlinearities are presented. The proposed algorithms are based on the idea of separable input, that is an input which is able to separate the linear and the nonlinear blocks in some sense in identification. Two different block-oriented nonlinear models are considered in this paper, the Hammerstein model and the Wiener model. A simulated example is presented in order to show the effectiveness of the proposed procedures.

Biological control systems

Bussgang theorem

Cities and towns

Control systems

Hammerstein systems

Nonlinear control systems

Nonlinear systems

Power system modeling

Programmable control

Radio control

separable inputs

Signal processing

Time invariant systems

Wiener systems

Details

Title: Subtitle: Separable inputs for the identification of block-oriented nonlinear systems
Creators: E.W Bai - University of Iowa
V Cerone - Polytechnic University of Turin
D Regruto - Polytechnic University of Turin
Resource Type: Conference proceeding
Publication Details: 2007 American Control Conference, pp.1548-1553
Publisher: IEEE
DOI: 10.1109/ACC.2007.4282538
ISSN: 0743-1619
eISSN: 2378-5861
Language: English
Date published: 07/2007
Academic Unit: Electrical and Computer Engineering
Record Identifier: 9984197272902771

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