International Journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN: 2313-626X

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 Volume 9, Issue 3 (March 2022), Pages: 159-164

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 Original Research Paper

 Title: A Takagi-Sugeno model approach for robust fuzzy control design for trajectory tracking of non-linear systems

 Author(s): Sulaiman Alkaik *, 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/0000-0002-9040-0694

 Digital Object Identifier: 

 https://doi.org/10.21833/ijaas.2022.03.018

 Abstract:

This article investigates the robust fuzzy tracking control design for a class of uncertain nonlinear systems using the Takagi–Sugeno (TS) fuzzy models. The main purpose of this study is to design state feedback and observer-based controllers such that the closed-loop system is asymptotically stable. Based on the Lyapunov theory, sufficient conditions are derived such that the closed-loop system is robustly stable. The linear matrix inequality LMI approach is used to obtain the state-feedback and observer gains. The effectiveness of the proposed design approach is provided via numerical simulations for a pendulum system. 

 © 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: T-S fuzzy systems, State feedback, Observer, Robust control, Uncertainty, LMI

 Article History: Received 11 November 2021, Received in revised form 22 January 2022, Accepted 23 January 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:

 Alkaik S, Kchaw M, and Al-Shammari A (2022). A Takagi-Sugeno model approach for robust fuzzy control design for trajectory tracking of non-linear systems. International Journal of Advanced and Applied Sciences, 9(3): 159-164

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