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

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Moodi H., Farrokhi M.

International Journal of Applied Mathematics and Computer Science

2013

tom 23

nr 4

711-723

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.

Ograniczanie wyników

1 International Journal of Applied Mathematics and Computer Science

1 Farrokhi M.

1 Moodi H.

1 2013

Wyniki wyszukiwania

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