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64857

Fuzzy logic control of nonlinear systems with parametric uncertainties

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Last updated: 25 Dec 2024

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Abstract

A control algorithm for a class of non-linear uncertain systems is presented. The algorithm utilizes fuzzy systems based on "Takagi-sugeno" (TS) fuzzy models to approximate nonlinear systems. TS fuzzy systems are classified into three families based on the input matrices and a robust controller synthesis procedure is given for each family. It has been shown that the proposed method leads to robust control structure over a wide range of uncertainties of plant parameters. The two inverted pendulum system is used to illustrate the effectiveness of the proposed method. 

DOI

10.21608/mjeer.2006.64857

Authors

First Name

Prof. Abdul Azim

Last Name

Sobaih

MiddleName

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Affiliation

Industrial Electronics and Control department Faculty of Electronic Engineering, Menoufya University, EGYPT

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First Name

EL-Khatib

Last Name

Kamal

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-

Affiliation

Industrial Electronics and Control department Faculty of Electronic Engineering, Menoufya University, EGYPT

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Volume

16

Article Issue

2

Related Issue

9701

Issue Date

2006-07-01

Receive Date

2019-12-12

Publish Date

2006-07-01

Page Start

157

Page End

170

Print ISSN

1687-1189

Online ISSN

2682-3535

Link

https://mjeer.journals.ekb.eg/article_64857.html

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https://mjeer.journals.ekb.eg/service?article_code=64857

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4

Type

Original Article

Type Code

1,088

Publication Type

Journal

Publication Title

Menoufia Journal of Electronic Engineering Research

Publication Link

https://mjeer.journals.ekb.eg/

MainTitle

Fuzzy logic control of nonlinear systems with parametric uncertainties

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Article

Created At

22 Jan 2023