Korbicz, Józef - red. ; Uciński, Dariusz - red.
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 modelling 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.
Zielona Góra: Uniwersytet Zielonogórski
AMCS, volume 23, number 4 (2013) ; kliknij tutaj, żeby przejść
Biblioteka Uniwersytetu Zielonogórskiego
2024-04-23
2024-04-23
22
https://zbc.uz.zgora.pl/repozytorium/publication/88692
Nazwa wydania | Data |
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Robust observer design for Sugeno systems with incremental quadratic nonlinearity in the consequent | 2024-04-23 |
Xu, Dezhi Jiang, Bin Shi, Peng Korbicz, Józef - red. Uciński, Dariusz - red.