Modeling of Uncertain Nonlinear System With Z-Numbers-Reference-Cited by-同舟云学术

Modeling of Uncertain Nonlinear System With Z-Numbers

Published:2021 Issue: Volume: Page:290-314
ISSN:2331-7701
Container-title:Encyclopedia of Information Science and Technology, Fifth Edition
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Author:

Jafari Raheleh¹^ORCID,Razvarz Sina²^ORCID,Gegov Alexander³^ORCID,Paul Satyam⁴^ORCID

Affiliation:

1. School of Design, University of Leeds, Leeds, UK

2. Department of Automatic Control, Centre for Research and Advanced Studies of the National Polytechnic Institute (CINVESTAV-IPN), Mexico City, Mexico

3. School of Computing, University of Portsmouth, UK

4. Department of Engineering Design and Mathematics, University of the West of England, Bristol, UK

Abstract

In order to model the fuzzy nonlinear systems, fuzzy equations with Z-number coefficients are used in this chapter. The modeling of fuzzy nonlinear systems is to obtain the Z-number coefficients of fuzzy equations. In this work, the neural network approach is used for finding the coefficients of fuzzy equations. Some examples with applications in mechanics are given. The simulation results demonstrate that the proposed neural network is effective for obtaining the Z-number coefficients of fuzzy equations.

Publisher

IGI Global

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