LMI region-constrained takagi-sugeno fuzzy tracking control

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Abstract

This paper addresses the problem of root-clustering in discrete-time Takagi-Sugeno fuzzy tracking control. The proposed approach is propped up on the concept of \mathcal{D}{\text{ - stability}} in a LMI subregion. Specific conditions are derived for a discretetime system and extended to closed loop Takagi-Sugeno systems, where the control action is obtained within a Parallel Distributed Compensation framework. Simulation results demonstrate the effectiveness of proposed methodology.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE International Conference on Industrial Technology, ICIT 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages139-144
Number of pages6
ISBN (Electronic)9781538663769
DOIs
Publication statusPublished - Feb 2019
Event2019 IEEE International Conference on Industrial Technology, ICIT 2019 - Melbourne, Australia
Duration: 13 Feb 201915 Feb 2019

Publication series

NameProceedings of the IEEE International Conference on Industrial Technology
PublisherInstitute of Electrical and Electronics Engineers Inc.
Volume2019-February
ISSN (Print)2643-2978

Conference

Conference2019 IEEE International Conference on Industrial Technology, ICIT 2019
CountryAustralia
CityMelbourne
Period13/02/1915/02/19

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  • Cite this

    Gil, P., Carvalho, C., Januário, F., Cardoso, A., & Palma, L. (2019). LMI region-constrained takagi-sugeno fuzzy tracking control. In Proceedings - 2019 IEEE International Conference on Industrial Technology, ICIT 2019 (pp. 139-144). [8755228] (Proceedings of the IEEE International Conference on Industrial Technology; Vol. 2019-February). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIT.2019.8755228