Volume 9, Issue 5 (May 2022), Pages: 32-36
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Original Research Paper
Title: Robust fuzzy control for non-linear systems with uncertainties: A Takagi-Sugeno model approach
Author(s): Faisal Alsaket *, Mourad Kchaw, Ahmed Al-Shammari
Affiliation(s):
College of Engineering, University of Hail, Hail, Saudi Arabia
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* Corresponding Author.
Corresponding author's ORCID profile: https://orcid.org/0000-0002-6857-1948
Digital Object Identifier:
https://doi.org/10.21833/ijaas.2022.05.004
Abstract:
This article studies the problem of robust control design for a class of uncertain nonlinear systems using the Takagi–Sugeno (TS) fuzzy models. The objective of this study is to design state feedback and an observer-based controller such that the closed-loop system is asymptotically stable. For this purpose, sufficient conditions are derived, and the corresponding controllers are designed by solving a set of linear matrix inequalities (LMIs). The effectiveness of the proposed design approach is provided via numerical simulations for a permanent magnet synchronous motor (PMSM).
© 2022 The Authors. Published by IASE.
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Takagi–Sugano fuzzy systems, State feedback observer, Robust control, Uncertainty, Linear matrix inequality
Article History: Received 13 November 2021, Received in revised form 1 February 2022, Accepted 27 February 2022
Acknowledgment
No Acknowledgment.
Compliance with ethical standards
Conflict of interest: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Citation:
Alsaket F, Kchaw M, and Al-Shammari A (2022). Robust fuzzy control for non-linear systems with uncertainties: A Takagi-Sugeno model approach. International Journal of Advanced and Applied Sciences, 9(5): 32-36
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