Use this url to cite publication: https://hdl.handle.net/20.500.14911/113046
Design of a functional observer for fuzzy delayed systems with unknown input
Publication Type (CRIS)
Straipsnis konferencijos medžiagoje Web of Science duomenų bazėje / Article in conference proceedings in Web of Science database (P1a1)
Publication Type (eLABa)
Straipsnis konferencijos darbų leidinyje Web of Science DB / Article in conference proceedings Web of Science DB (P1a)
VILNIUS TECH Research Priorities and Topics
Inovatyvios elektroninės sistemos / Innovative Electronic Systems (MC0505)
Lithuanian Intelligent Specialization
Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies (L106)
Author(s)
| Author | Affiliation |
|---|---|
Naami, Ghali | University Sidi Mohammed Ben Abdellah |
Ouahi, Mohamed | University Sidi Mohammed Ben Abdellah |
Rabhi, Abdelhamid | University of Picardie Jules Verne |
Tadeo, Fernando | University of Valladolid |
Title [en]
Design of a functional observer for fuzzy delayed systems with unknown input
Ghali Naami, Mohamed Ouahi, Dainius Udris, Abdelhamid Rabhi, Fernando Tadeo
Is part of
2022 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), 21 April 2022, Vilnius, Lithuania / organized by: Vilnius Gediminas Technical University
Published In
| Year | Start Page | End Page |
|---|---|---|
2022 | 1 | 6 |
Publisher
Piscataway, NJ : IEEE, 2022
Referenced in Database(s)(DBs)
Extent
p. 1-6
Cited references
23
Science / Art Area
Technologijos mokslai / Technological sciences (T)
Field of Science / Art
Elektros ir elektronikos inžinerija / Electrical and electronic engineering (T001)
Abstract (en)
This study focuses on the design of observers with unknown inputs for delayed systems represented by Takagi-Sugeno (T-S) in continuous time. When the unknown inputs are included in the state and output equations, and the delays are assumed to be bounded, fuzzy functional observers are derived. The design and analysis of the observer is based on Lyapunov-Krasovskii stability theory, and the convergence conditions of the observer are expressed in terms of linear matrix inequalities (LMIs), which can be solved numerically and symbolically using the LMI or YALMIP toolboxes. In the last part of the paper, a detailed example is proposed to prove the applicability of this technique.
Resource Type (COAR)
TextConference outputConference proceedingsConference paper
Language
Anglų / English (en)
Country
Jungtinės Amerikos Valstijos / United States of America (US)
Owning collection
Mapped collections
ISBN (of the container)
9781665450492
9781665450485
ISSN (of the container)
2690-8506
WOS
000848697000016
Scopus
2-s2.0-85132153098
eLABa ID
134780284