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2013 | 23 | 4 | 711-723

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

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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.








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  • Department of Electrical Engineering, Iran University of Science and Technology, Narmak, Farjam St., Tehran 16846, Iran
  • Department of Electrical Engineering, Iran University of Science and Technology, Narmak, Farjam St., Tehran 16846, Iran


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