Robust observer design for Sugeno systems with incremental quadratic nonlinearity in the consequent

Hoda Moodi ; Mohammad Farrokhi

International Journal of Applied Mathematics and Computer Science, Tome 23 (2013), p. 711-723 / Harvested from The Polish Digital Mathematics Library

Résumé

This paper is concerned with observer design for nonlinear systems that are modeled by T-S fuzzy systems containing parametric and nonparametric uncertainties. Unlike most Sugeno models, the proposed method contains nonlinear functions in the consequent part of the fuzzy IF-THEN rules. This will allow modeling a wider class of systems with smaller modeling errors. The consequent part of each rule contains a linear part plus a nonlinear term, which has an incremental quadratic constraint. This constraint relaxes the conservativeness introduced by other regular constraints for nonlinearities such as the Lipschitz conditions. To further reduce the conservativeness, a nonlinear injection term is added to the observer dynamics. Simulation examples show the effectiveness of the proposed method compared with the existing techniques reported in well-established journals.

Détail

Publié le : 2013-01-01

Zbl 1284.93140

EUDML-ID : urn:eudml:doc:262484

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