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This work concerns the tracking problem of uncertain Takagi–Sugeno fuzzy continuous systems with unmeasurable premise variables and affected by unknown inputs. The aim is to synthesize a fault tolerant controller (FTC) ensuring trajectory tracking of a desired reference model. To emit the original plant system, a norm bounded parametric uncertainty is employed in building the T–S model. The control scheme is based on a fuzzy observer to estimate both faults and faulty system states; a proportional integer (PI) observer to estimate constant faults is then adopted. Using descriptor redundancy property and View the MathML sourceL2 optimization to attenuate the unknown inputs effect, a solution is proposed in terms of bilinear matrix inequalities (BMIs). The performances of the proposed approach are pointed out by accentuating on a model of wastewater treatment plant (WWTP) through numerical results.

Item Type	Journal
Divisions	» Laboratory of Electrical Engineering,Electronic and Renewable Energy » Faculty of Science and Technology
ePrint ID	102
Date Deposited	2014-10-30
Further Information	Google Scholar
URI	https://univ-soukahras.dz/en/publication/article/102

@article{uniusa102,
    title={Robust fault tolerant tracking controller design for unknown inputs T-S models with unmeasurable premise variables},
    author={Sabrina AOUAOUDA, M. Chadli, M. T. Khadir and T. Bouarar},
    journal={Journal of Process Control}
    year={2012},
    volume={22},
    number={5},
    pages={872-872},
    publisher={Elsevier}
}