Gradient-based iterative algorithm for Wiener systems with saturation and dead-zone nonlinearities-Reference-Cited by-同舟云学术

Gradient-based iterative algorithm for Wiener systems with saturation and dead-zone nonlinearities

Published:2012-11-09 Issue:4 Volume:20 Page:634-640
ISSN:1077-5463
Container-title:Journal of Vibration and Control
language:en
Short-container-title:Journal of Vibration and Control

Author:

Chen Jing¹²,Lu Xianling³,Ding Ruifeng³

Affiliation:

1. Key Laboratory of Advanced Process Control for Light Industry, Ministry of Education, Jiangnan University, China

2. Wuxi Professional College of Science and Technology, China

3. School of Internet of Things Engineering, Jiangnan University, China

Abstract

This paper considers identification problems for Wiener systems with saturation and dead-zone nonlinearities. The basic idea is to obtain the identification model of such a nonlinear system using a switching function, and to propose a gradient-based iterative identification algorithm using the iterative technique. An example is provided to show the effectiveness of the proposed algorithm.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Mechanics of Materials,Aerospace Engineering,Automotive Engineering,General Materials Science

Link

http://journals.sagepub.com/doi/pdf/10.1177/1077546312466563

Reference49 articles.

1. An optimal two-stage identification algorithm for Hammerstein–Wiener nonlinear systems

2. Identification of linear systems with hard input nonlinearities of known structure

3. Gradient based estimation algorithm for Hammerstein systems with saturation and dead-zone nonlinearities

4. Auxiliary model based multi-innovation algorithms for multivariable nonlinear systems

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