150
Views
7
CrossRef citations to date
0
Altmetric
Regular papers

Input–output stability and stabilisation conditions for discrete-time delayed fuzzy systems

ORCID Icon, ORCID Icon, &
Pages 2660-2676 | Received 10 Aug 2020, Accepted 20 Feb 2021, Published online: 05 Mar 2021
 

Abstract

The problem of input–output stability analysis and stabilisation of discrete Takagi–Sugeno (T–S) fuzzy systems with a time-varying delay via an input–output (I–O) approach is investigated in this paper. Using a three-term approximation-based model, a forward subsystem with three constant delays and a feedback subsystem are presented. Two separate input–output stability criteria have been formulated, using an input–output approach and a scaled small gain theorem: a criterion based on the lifting method, a non-quadratic Lyapunov function, and bounded real lemma, another criterion based on a non-quadratic Lyapunov–krasovskii functional approach. Using this result, the input–output stabilisation problem is resolved through the so-called parallel distributed compensation (PDC) scheme. The conditions obtained are presented in terms of linear matrix inequalities (LMIs). Three numerical examples are provided to demonstrate the advantages and merit of the proposed method.

Acknowledgments

Hicham El Aiss has been supported by Fondo Nacional de Desarrollo Cientfico y Tecnologico-Fondecyt, Chile, under grant No: 3190378.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Notes

The value is not specified in the corresponding work.

Additional information

Funding

Hicham El Aiss has been supported by Fondo Nacional de Desarrollo Científico y Tecnológico, Chile, under grant No: 3190378.

Notes on contributors

Hicham El Aiss

Hicham El Aiss received his master's degree in signals systems and informatics from the University of Sidi Mohamed Ben Abdelah, faculty of sciences in 2013, received his Ph.D degree in Electrical Engineering from the same university in 2018. He is currently a post-doc position in University of Santiago, Chile, under grant N:3190378. His current research interests include delay systems, stability theory, robust control, fuzzy control, vehicle dynamics and descriptor systems.

Redouane Chaibi

Redouane Chaibi, received the Master in Signals Systems and Computing from University of Sidi Mohammed Ben Abdellah, Faculty of Sciences, Fez, Morocco in 2014. He is a Ph.D. student in the same Faculty. His research interests include stability and stabilization of T-S fuzzy system.

Ahmed El Hajjaji

Ahmed El Hajjaji, received his Ph.D in automatic control from the University Of Picardie Jules vernes, France in 1993. He was an associate Professor in the same University from 1994 to 2003. He is currently a full Professor in the same University. Since 2001, he has also been the head of the research team of control and vehicle of modeling, information and systems (MIS) laboratory. His current research interests include fuzzy control, vehicle dynamics, fault-tolerant control, neural networks, manglev systems and renewable energy systems.

Abdelaziz Hmamed

Abdelaziz Hmamed, was born in sefrou, morocco, in 1951. He received the doctorate of state degree in electrical engineering from the Faculty of Sciences, Rabat, Morocco, in 1985. Since 1986 he has been with the department of Physics, Faculty Of Sciences Dhar El Mehraz at Fez, where he is currently a full Professor. His research interests are delay systems, stability theory, systems with constraints and 2-D systems.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,413.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.