LMI based fuzzy observer design for Takagi-Sugeno models containing vestigial nonlinear terms

• Autorzy: Krokavec D. , Filasová A.

Identyfikatory

DOI

10.2478/acsc-2014-0003

• Języki publikacji: EN

Abstrakty

EN

The paper deals with the problem of full order fuzzy observer design for the class of continuous-time nonlinear systems, represented by Takagi-Sugeno models containing vestigial nonlinear terms. On the basis of the Lyapunov stability criterion and the incremental quadratic inequalities, two design conditions for this kind of system model are outlined in the terms of linear matrix inequalities. A numerical example is given to illustrate the procedure and to validate the performances of the proposed approach.

Słowa kluczowe

EN

Takagi-Sugeno models; fuzzy observer; linear matrix inequality; incremental quadratic inequality

• Wydawca: Polish Academy of Sciences, Committee of Automatic Control and Robotics
• Czasopismo: Archives of Control Sciences
• Rocznik: 2014
• Tom: Vol. 24, no. 1
• Strony: 39--52
• Opis fizyczny: Bibliogr. 22 poz., wzory

Twórcy

autor

Krokavec D.

• Technical University of Košice, Faculty of Electrical Engineering and Informatics, Department of Cybernetics and Artificial Intelligence, Letná 9, 042 00 Košice, Slovakia

autor

Filasová A.

• Technical University of Košice, Faculty of Electrical Engineering and Informatics, Department of Cybernetics and Artificial Intelligence, Letná 9, 042 00 Košice, Slovakia

Bibliografia

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Uwagi

The work presented in this paper was supported by VEGA, the Grant Agency of the Ministry of Education and the Academy of Science of Slovak Republic, under Grant No. 1/0348/14. This support is very gratefully acknowledged.